PV187 Seminar of digital image processing

Faculty of Informatics
Autumn 2021
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Taught in person.
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Tue 14. 9. to Tue 7. 12. Tue 12:00–13:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 69 fields of study the course is directly associated with, display
Course objectives
The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Learning outcomes
The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells, tissues and organs, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Spring 2022.

PV187 Seminar of Digital Image Processing

Faculty of Informatics
Spring 2022
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Taught in person.
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 70 fields of study the course is directly associated with, display
Course objectives
The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Learning outcomes
The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells, tissues and organs, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
The course is taught: every week.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021.

PV187 Seminar of Digital Image Processing

Faculty of Informatics
Spring 2021
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Taught online.
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Tue 12:00–13:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 70 fields of study the course is directly associated with, display
Course objectives
The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Learning outcomes
The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Autumn 2020
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Taught online.
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Tue 12:00–13:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 69 fields of study the course is directly associated with, display
Course objectives
The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Learning outcomes
The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of Digital Image Processing

Faculty of Informatics
Spring 2020
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Mon 17. 2. to Fri 15. 5. Tue 12:00–13:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 70 fields of study the course is directly associated with, display
Course objectives
The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Learning outcomes
The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
Study Materials
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Autumn 2019
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Tue 12:00–13:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 69 fields of study the course is directly associated with, display
Course objectives
The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Learning outcomes
The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Spring 2019
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Tue 19. 2. to Tue 14. 5. Tue 12:00–13:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 33 fields of study the course is directly associated with, display
Course objectives
The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Learning outcomes
The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Autumn 2018
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Tue 12:00–13:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
The student will gain a more profound knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Learning outcomes
The student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or online resources including the behaviour of selected methods according to the supervisor's instructions. Active participation in the research seminar is expected including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and online resources, a final presentation on the seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Spring 2018
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Tue 12:00–13:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 33 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Learning outcomes
Student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Autumn 2017
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Tue 12:00–13:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Learning outcomes
Student will be able to:
describe and share own image analysis solutions with colleagues;
prepare an oral presentation about specific image analysis workflow;
analyze strengths and weaknesses of image analysis workflows presented by others;
suggest suitable modifications to image analysis workflows presented by others;
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Spring 2017
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (assistant)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Tue 12:00–13:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 33 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Autumn 2016
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
doc. RNDr. Martin Maška, Ph.D. (assistant)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Wed 14:00–15:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Spring 2016
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (assistant)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable of Seminar Groups
PV187/OS01: Wed 14:00–15:50 A321, M. Kozubek
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 33 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Autumn 2015
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (assistant)
doc. RNDr. Pavel Matula, Ph.D. (assistant)
doc. RNDr. David Svoboda, Ph.D. (assistant)
doc. RNDr. Martin Maška, Ph.D. (assistant)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Wed 13:00–15:50 A321
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will study literature on a selected practical topic followed by a presentation in English. This will strengthen the student's capability of understanding real-world problems in the given field, finding suitable solutions and participating in scientific team discussions.
Syllabus
  • This course is a seminar (presentations followed by team discussions) focused on methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in studying a research problem from literature or on-line resources including behaviour of selected methods according to the supervisor's instructions. Active participation in research seminar including own presentation in English once per semester.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work with literature and on-line resources, final presentation on seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Spring 2015
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (assistant)
doc. RNDr. Martin Maška, Ph.D. (assistant)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable of Seminar Groups
PV187/OS01: Wed 13:00–15:50 A319, P. Matula
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 32 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions. Active participation in research seminar.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar in English (notebook and data projector available).
Language of instruction
English
Further comments (probably available only in Czech)
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Autumn 2014
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (assistant)
doc. RNDr. Martin Maška, Ph.D. (assistant)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Wed 13:00–15:50 C525
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing and PB130 Introduction to Digital Image Processing is required as well as practical experience with digital image processing (e.g., gained in course PV162 Image Processing Project).
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 36 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions. Active participation in research seminar.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar in English (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Spring 2014
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable of Seminar Groups
PV187/OS01: Wed 13:00–15:50 C416, M. Maška, P. Matula, D. Svoboda
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 32 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Autumn 2013
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Wed 13:00–15:50 C416
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 36 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Spring 2013
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
doc. RNDr. Martin Maška, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Wed 8:00–9:50 C416
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 32 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Seminar of digital image processing

Faculty of Informatics
Autumn 2012
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Wed 12:00–13:50 C416
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 36 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Spring 2012
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Supplier department: Department of Visual Computing - Faculty of Informatics
Timetable
Thu 14:00–15:50 B204
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 32 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
English
Further Comments
Study Materials
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Autumn 2011
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Timetable
Wed 12:00–13:50 C416
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 41 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
Czech
Further Comments
Study Materials
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Spring 2011
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Timetable
Wed 14:00–15:50 G124
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 30 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
English
Further Comments
Study Materials
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Autumn 2010
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Timetable
Thu 10:00–11:50 C511
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 34 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
Czech
Further Comments
Study Materials
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Spring 2010
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Timetable
Wed 12:00–13:50 C416
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 30 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Autumn 2009
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Timetable
Thu 14:00–15:50 C525
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 34 fields of study the course is directly associated with, display
Course objectives
The student will gain a deeper knowledge about a chosen area of optical microscopy image processing solved in the Centre for Biomedical Image Analysis at FI MU and will apply this knowledge during the work on a team R&D project. This will strengthen the student's capability of analyzing real-world problems in the given field, finding suitable solutions and working in a scientific team.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held in the Centre for Biomedical Image Analysis at FI MU.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Teaching methods
The core work consists in solving a research problem including implementation of selected methods according to the supervisor's instructions.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
Czech
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Spring 2009
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Timetable
Wed 14:00–15:50 A107
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 27 fields of study the course is directly associated with, display
Course objectives
Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Autumn 2008
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Timetable
Wed 14:00–15:50 C416
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 27 fields of study the course is directly associated with, display
Course objectives
Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.
Literature
  • Scientific books and articles according to the recommendation of project supervisor.
Assessment methods
Communication with project supervisor in Czech or English, study materials in English. Individual work on computer, short final presentation on seminar (notebook and data projector available).
Language of instruction
Czech
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Spring 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Spring 2008
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Timetable
Wed 12:00–13:50 B410
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 27 fields of study the course is directly associated with, display
Course objectives
Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.
Literature
  • Knihy a články dle doporučení vedoucího práce.
Assessment methods (in Czech)
Komunikace s vedoucím v češtině nebo angličtině, studijní materiály v angličtině. Samostatná práce u počítačů, přednesení přednášky na semináři (k dispozici notebook a datový projektor).
Language of instruction
English
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Autumn 2007, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Autumn 2007
Extent and Intensity
0/0/2. 2 credit(s). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Timetable
Wed 14:00–15:50 C416
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.
Literature
  • Knihy a články dle doporučení vedoucího práce.
Assessment methods (in Czech)
Komunikace s vedoucím v češtině nebo angličtině, studijní materiály v angličtině. Samostatná práce u počítačů, přednesení přednášky na semináři (k dispozici notebook a datový projektor).
Language of instruction
Czech
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Spring 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Spring 2007
Extent and Intensity
0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Timetable
Wed 10:00–11:50 C416
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 17 fields of study the course is directly associated with, display
Course objectives
Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.
Literature
  • Knihy a články dle doporučení vedoucího práce.
Assessment methods (in Czech)
Komunikace s vedoucím v češtině nebo angličtině, studijní materiály v angličtině. Samostatná práce u počítačů, přednesení přednášky na semináři (k dispozici notebook a datový projektor).
Language of instruction
Czech
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2006, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.

PV187 Laboratory of Optical Microscopy

Faculty of Informatics
Autumn 2006
Extent and Intensity
0/2. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, Ph.D. (lecturer)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
doc. RNDr. David Svoboda, Ph.D. (lecturer)
Guaranteed by
prof. Ing. Jiří Sochor, CSc.
Department of Visual Computing - Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Timetable
Thu 12:00–13:50 C416
Prerequisites
SOUHLAS
Knowledge at the level of the course PV131 Digital Image Processing is required.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 17 fields of study the course is directly associated with, display
Course objectives
Students work in the Laboratory of Optical Microscopy and take part in solving research and programming tasks from various fields of image processing.
Syllabus
  • This course is a team project aimed at new methods of acquisition and processing of digital images of cells from optical microscopes, especially in connection with biomedical research held at the Laboratory of Optical Microscopy FI MU. The core work consists in solving a research problem including implementation of selected methods according to the agreement with the supervisor. Talk at the laboratory seminar is also assumed.
Literature
  • Knihy a články dle doporučení vedoucího práce.
Assessment methods (in Czech)
Komunikace s vedoucím v češtině nebo angličtině, studijní materiály v angličtině. Samostatná práce u počítačů, přednesení přednášky na semináři (k dispozici notebook a datový projektor).
Language of instruction
Czech
Further Comments
The course is taught each semester.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Spring 2010, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.
  • Enrolment Statistics (recent)