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Course detail
FIT-POVAcad. year: 2014/2015
Principles and methods of computer vision, methods and principles of image acquiring, preprocessing methods (statistical processing), filtering, pattern recognition, integral transformations - Fourier transform, image morphology, classification problems, automatic classification, D methods of computer vision, open problems of computer vision.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
The students will improve their teamwork skills, mathematics, and exploitation of the "C" language.
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended literature
Classification of course in study plans
branch MBI , 0 year of study, winter semester, electivebranch MBS , 0 year of study, winter semester, electivebranch MIN , 0 year of study, winter semester, compulsory-optionalbranch MIS , 2 year of study, winter semester, electivebranch MMI , 0 year of study, winter semester, electivebranch MMM , 0 year of study, winter semester, electivebranch MPV , 2 year of study, winter semester, compulsory-optionalbranch MSK , 0 year of study, winter semester, electivebranch MGM , 0 year of study, winter semester, compulsory-optional