PV163 Image Processing Project

Faculty of Informatics
Spring 2004
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)
Guaranteed by
prof. PhDr. Karel Pala, CSc.
Department of Machine Learning and Data Processing – Faculty of Informatics
Contact Person: prof. RNDr. Michal Kozubek, Ph.D.
Timetable
Wed 8:00–9:50 B311
Prerequisites
Knowledge on the level of the course PV131 is assumed. This project is a continuation of the project PV162. However, PV162 is not a prerequisite.
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: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20
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
The aim of the project is to provide students with a deeper knowledge concerning a chosen area of digital image processing and practical checking of this knowledge by working on the project.
Syllabus
  • Extension and deeper knowledge of the topics presented in PV131 with emphasis on practical applications.
Literature
  • Články z odborných časopisů a sborníků konferencí dle specifikace vedoucího projektu.
Assessment methods (in Czech)
Praktické úkoly, zejména analýzy obrazů a programování v C/C++, podmínkou zápočtu je dokončená práce (zpracovaná data, resp. funkční program).
Language of instruction
Czech
Further Comments
The course is taught annually.
Teacher's information
http://www.fi.muni.cz/lom/
The course is also listed under the following terms Spring 2005, Spring 2006, Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012.
  • Enrolment Statistics (Spring 2004, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2004/PV163