PV162 Image Processing Project

Faculty of Informatics
Autumn 2017
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: k (colloquium).
Teacher(s)
doc. RNDr. Petr Matula, Ph.D. (lecturer)
RNDr. David Svoboda, Ph.D. (seminar tutor)
doc. RNDr. Pavel Matula, Ph.D. (seminar tutor)
RNDr. Martin Maška, Ph.D. (seminar tutor)
Mgr. Karel Štěpka, Ph.D. (seminar tutor)
Ing. Martin Spurný (seminar tutor)
prof. RNDr. Michal Kozubek, Ph.D. (seminar tutor)
Supervisor
doc. RNDr. Petr Matula, Ph.D.
Department of Computer Graphics and Design - Faculty of Informatics
Supplier department: Department of Computer Graphics and Design - Faculty of Informatics
Prerequisites
SOUHLAS
Knowledge at the level of course PV131 or at least PB130 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.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 10/20, only registered: 5/20, only registered with preference (fields directly associated with the programme): 5/20
Fields of study the course is directly associated with
there are 37 fields of study the course is directly associated with, display
Course objectives
The course objective is to strengthen the student's capability of analyzing real-world problems in the field of digital image processing and finding suitable solutions.
Learning outcomes
At the end of the course the student will be able to better solve practical problems from the area of digital image processing.
Syllabus
  • Extension and deeper knowledge of the topics presented in PV131 and PB130 with emphasis on solving a practical project. The projects are in principle of three types:
  • Programming - implementation and testing of a given algorithm (in a chosen programming language)
  • Creative - finding a suitable solution to a given problem
  • Study - testing and comparison of several algorithms/implementations on a given data
Literature
  • Articles published in scientific journals and conference proceedings according to the specification of project leader.
Teaching methods
The student selects a topic from a given list or suggests own topic from the field of digital image processing. (S)he works independently and is supervised by one of the tutors. The results of the work are presented at the end of the semester to other students and tutors.
Assessment methods
In order to obtain credits, it is necessary to finish the task (process data, write a fully functional computer program), give a presentation and discuss the results at a seminar.
Language of instruction
Czech
Follow-Up Courses
Further Comments
Study Materials
The course is taught annually.
The course is taught: every week.
Teacher's information
http://cbia.fi.muni.cz/
The course is also listed under the following terms Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Spring 2018.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fi/autumn2017/PV162

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