PA172 Image Acquisition
Faculty of InformaticsAutumn 2021
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Thu 16. 9. to Thu 9. 12. Thu 14:00–15:50 C511
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Image Processing and Analysis (programme FI, N-VIZ)
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Bioinformatics (programme FI, N-AP)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Computer Networks and Communications (programme FI, N-PSKB_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Formal analysis of computer systems (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Information Security (programme FI, N-PSKB_A)
- Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Networks and Communications (programme FI, N-PSKB)
- Computer Systems (programme FI, N-IN)
- Principles of programming languages (programme FI, N-TEI)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software Systems Development Management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software Systems (programme FI, N-PSKB_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Computer Games Development (programme FI, N-VIZ)
- Processing and analysis of large-scale data (programme FI, N-UIZD)
- Image Processing (programme FI, N-AP)
- Natural language processing (programme FI, N-UIZD)
- Course objectives
- In this course, the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Particular attention is paid to the acquisition of multidimensional information. The student will gain the basic understanding of both hardware of specific detectors and transport of the data from these sensors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Learning outcomes
- The student will be able to:
formulate basic principles of digital image acquisition;
describe characteristics of the most common imaging instruments;
describe mutual interdependencies between the essential features of imaging instruments or settings;
suggest suitable configurations for a given image acquisition task; - Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time-dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of the object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in English, study materials in English. Final written online exam.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsAutumn 2020
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Mon 10:00–11:50 C511
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Image Processing and Analysis (programme FI, N-VIZ)
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Bioinformatics (programme FI, N-AP)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Computer Networks and Communications (programme FI, N-PSKB_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Formal analysis of computer systems (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Information Security (programme FI, N-PSKB_A)
- Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Networks and Communications (programme FI, N-PSKB)
- Computer Systems (programme FI, N-IN)
- Principles of programming languages (programme FI, N-TEI)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software Systems Development Management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software Systems (programme FI, N-PSKB_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Computer Games Development (programme FI, N-VIZ)
- Processing and analysis of large-scale data (programme FI, N-UIZD)
- Image Processing (programme FI, N-AP)
- Natural language processing (programme FI, N-UIZD)
- Course objectives
- In this course, the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Particular attention is paid to the acquisition of multidimensional information. The student will gain the basic understanding of both hardware of specific detectors and transport of the data from these sensors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Learning outcomes
- The student will be able to:
formulate basic principles of digital image acquisition;
describe characteristics of the most common imaging instruments;
describe mutual interdependencies between the essential features of imaging instruments or settings;
suggest suitable configurations for a given image acquisition task; - Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time-dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of the object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in English, study materials in English. Final written online exam.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2019
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Tue 19. 2. to Tue 14. 5. Tue 8:00–9:50 B411
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- In this course, the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Particular attention is paid to the acquisition of multidimensional information. The student will gain the basic understanding of both hardware of specific detectors and transport of the data from these sensors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Learning outcomes
- The student will be able to:
formulate basic principles of digital image acquisition;
describe characteristics of the most common imaging instruments;
describe mutual interdependencies between the essential features of imaging instruments or settings;
suggest suitable configurations for a given image acquisition task; - Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time-dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of the object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in English, study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2018
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Thu 8:00–9:50 C511
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- In this course the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attention is paid to the acquisition of multidimensional information. The student will gain basic understanding of both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Learning outcomes
- Student will be able to:
formulate basic principles of digital image acquisition;
describe characteristics of the most common imaging instruments;
describe mutual interdependencies between the basic features of imaging instruments or settings;
suggest suitable configurations for a given image acquisition task; - Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in Czech or English (in the presence of students who do not understand Czech), study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2017
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Thu 8:00–9:50 B410
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- In this course the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attention is paid to the acquisition of multidimensional information. The student will gain basic understanding of both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in Czech or English (in the presence of students who do not understand Czech), study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2016
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Thu 14:00–15:50 C511
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- In this course the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attention is paid to the acquisition of multidimensional information. The student will gain basic understanding of both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in Czech or English (in the presence of students who do not understand Czech), study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2015
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Thu 8:00–9:50 C525
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- In this course the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attention is paid to the acquisition of multidimensional information. The student will gain basic understanding of both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in Czech or English (in the presence of students who do not understand Czech), study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2014
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Fri 10:00–11:50 G126
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- In this course the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attention is paid to the acquisition of multidimensional information. The student will gain basic understanding of both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in Czech or English (in the presence of students who do not understand Czech), study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2013
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- doc. RNDr. Petr Matula, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Fri 10:00–11:50 G125
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- In this course the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attention is paid to the acquisition of multidimensional information. The student will gain basic understanding of both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in Czech or English (in the presence of students who do not understand Czech), study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2012
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, 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.
Supplier department: Department of Visual Computing – Faculty of Informatics - Timetable
- Wed 12:00–13:50 B411
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- In this course the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attention is paid to the acquisition of multidimensional information. The student will gain basic understanding of both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in Czech or English (in the presence of students who do not understand Czech), study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2011
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, 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
- Mon 10:00–11:50 B411
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- In this course the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attention is paid to the acquisition of multidimensional information. The student will gain basic understanding of both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in Czech or English (in the presence of students who do not understand Czech), study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2010
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, 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
- Fri 10:00–11:50 B410
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, M-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- In this course the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attention is paid to the acquisition of multidimensional information. The student will gain basic understanding of both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in Czech or English (in the presence of students who do not understand Czech), study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2009
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, 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
- Wed 8:00–9:50 C416
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, M-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- This course is aimed at theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attentiion is paid to the acquisition of multidimensional information. Both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory will be described.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Assessment methods
- Lectures in Czech or English (in the presence of students who do not understand Czech), study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2008
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, 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
- Wed 8:00–9:50 C416
- Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics (programme FI, N-AP)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, M-IN)
- Informatics (programme FI, N-IN)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Systems (programme FI, N-IN)
- Embedded Systems (eng.) (programme FI, N-IN)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
- Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Image Processing (programme FI, N-AP)
- Course objectives
- This course is aimed at theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attentiion is paid to the acquisition of multidimensional information. Both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory will be described.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Assessment methods (in Czech)
- Přednášky v češtině, studijní materiály v angličtině. Závěrečná zkouška v písemné podobě bez pomůcek.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- Study Materials
The course is taught annually. - Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsSpring 2007
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
doc. RNDr. Pavel Matula, 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
- Wed 8:00–9:50 C416
- Prerequisites
- PV131 Digital Image Processing
Knowledge at the level of the course PV131 Digital Image Processing is desirable. - 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
- Applied Informatics (programme FI, N-AP)
- Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Course objectives
- This course is aimed at theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Special attentiion is paid to the acquisition of multidimensional information. Both hardware of specific detectors and transport of the information from these detectors to computer memory and representation in computer memory will be described.
- Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Assessment methods (in Czech)
- Přednášky v češtině, studijní materiály v angličtině. Závěrečná zkouška v písemné podobě bez pomůcek.
- Language of instruction
- Czech
- Follow-Up Courses
- Further Comments
- The course is taught annually.
- Teacher's information
- http://cbia.fi.muni.cz/
PA172 Image Acquisition
Faculty of InformaticsAutumn 2019
The course is not taught in Autumn 2019
- Extent and Intensity
- 2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).
- Teacher(s)
- prof. RNDr. Michal Kozubek, Ph.D. (lecturer)
- Guaranteed by
- prof. RNDr. Michal Kozubek, Ph.D.
Department of Visual Computing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Supplier department: Department of Visual Computing – Faculty of Informatics - Prerequisites
- Knowledge at the level of the course PV131 Digital Image Processing is desirable.
- 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
- Image Processing and Analysis (programme FI, N-VIZ)
- Applied Informatics (programme FI, N-AP)
- Information Technology Security (eng.) (programme FI, N-IN)
- Information Technology Security (programme FI, N-IN)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Bioinformatics (programme FI, N-AP)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Computer Networks and Communications (programme FI, N-PSKB_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Formal analysis of computer systems (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Information Systems (programme FI, N-IN)
- Informatics (programme FI, N-IN)
- Information Security (programme FI, N-PSKB_A)
- Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
- Parallel and Distributed Systems (programme FI, N-IN)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Graphics (programme FI, N-IN)
- Computer Networks and Communication (programme FI, N-IN)
- Computer Networks and Communications (programme FI, N-PSKB)
- Computer Systems (programme FI, N-IN)
- Principles of programming languages (programme FI, N-TEI)
- Embedded Systems (eng.) (programme FI, N-IN)
- Embedded Systems (programme FI, N-IN)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software Systems Development Management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Service Science, Management and Engineering (eng.) (programme FI, N-AP)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software Systems (programme FI, N-PSKB_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Theoretical Informatics (programme FI, N-IN)
- Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
- Computer Games Development (programme FI, N-VIZ)
- Processing and analysis of large-scale data (programme FI, N-UIZD)
- Image Processing (programme FI, N-AP)
- Natural language processing (programme FI, N-UIZD)
- Course objectives
- In this course, the student will learn about theoretical and practical aspects of the acquisition of image data and its transformation into digital form. The focus will be on optical systems that are the most common. Particular attention is paid to the acquisition of multidimensional information. The student will gain the basic understanding of both hardware of specific detectors and transport of the data from these sensors to computer memory and representation in computer memory. Based on the gained knowledge the student will be able to choose appropriate detector for a particular application and set suitable acquisition parameters.
- Learning outcomes
- The student will be able to:
formulate basic principles of digital image acquisition;
describe characteristics of the most common imaging instruments;
describe mutual interdependencies between the essential features of imaging instruments or settings;
suggest suitable configurations for a given image acquisition task; - Syllabus
- Sources and detectors of light and other types of radiation.
- Cameras (CMOS, CCD, ICCD, EMCCD) and their properties, automatic focusing.
- Signal digitization and related protocols, norms and interfaces.
- Sources of noise and methods of its suppression.
- Optical system and its components, image formation in optical systems, microscopes and telescopes.
- Optical errors and their correction.
- Detection of multidimensional image data and principles of acquisition of spatial (3D), spectral and time-dependent information.
- Physical and optical cuts through the object, stereo-recording, measurement of topography (elevation) of the object surface, range imaging, tomographic approaches.
- Automation of image data acquisition.
- Literature
- RUSS, John C. The image processing handbook [4th ed.]. 4th ed. Boca Raton: CRC Press, 2002, 732 s. ISBN 0-8493-1142-X. info
- Image sensors and signal processing for digital still cameras. Edited by Junichi Nakamura. Boca Raton, FL: Taylor & Francis, 2006, 336 s. ISBN 0849335450. info
- KOZUBEK, Michal. Image acquisition and its automation in fluorescence microscopy. In From cells to proteins: Imaging nature across dimensions. Dordrecht: Springer, 2005, p. 227-270. NATO Science Series. ISBN 1-4020-3615-9. info
- Teaching methods
- Lectures followed by demonstrations of real acquisition devices, both consumer and scientific.
- Assessment methods
- Lectures in English, study materials in English. Final written exam, no materials allowed.
- Language of instruction
- English
- Follow-Up Courses
- Further Comments
- The course is taught annually.
The course is taught: every week. - Teacher's information
- http://cbia.fi.muni.cz/
- Enrolment Statistics (Autumn 2021, recent)