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Course detail
FIT-POVAcad. year: 2009/2010
Principles and methods of computer vision, methods and principles of image acquiring, preprocessing methods (statistical processing), filtering, pattern recognition, integral tranformations - Fourier transform, image morphology, classification problems, automatic classification, D methods of computer vision, open problems of computer vision.
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Learning outcomes of the course unit
The students will improve their teamwork skills, mathematics, and exploitation of the "C" language.
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Aims
Specification of controlled education, way of implementation and compensation for absences
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Basic literature
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Classification of course in study plans
branch MBI , 0 year of study, winter semester, electivebranch MBS , 0 year of study, winter semester, electivebranch MGM , 0 year of study, winter semester, compulsory-optionalbranch MGM , 2 year of study, winter semester, compulsorybranch MIN , 0 year of study, winter semester, compulsory-optionalbranch MIN , 2 year of study, winter semester, electivebranch MIS , 2 year of study, winter semester, electivebranch MIS , 2 year of study, winter semester, electivebranch MMI , 0 year of study, winter semester, electivebranch MMM , 0 year of study, winter semester, electivebranch MPS , 0 year of study, winter semester, electivebranch MPV , 2 year of study, winter semester, compulsory-optionalbranch MSK , 0 year of study, winter semester, elective
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