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Image processing and computer vision [ LELEC2885 ]


5.0 crédits ECTS  30.0 h + 30.0 h   1q 

Teacher(s) Jacques Laurent (compensates Macq Benoît) ; De Vleeschouwer Christophe (coordinator) ; Macq Benoît ;
Language English
Place
of the course
Louvain-la-Neuve
Main themes See contents
Aims After an introduction to the fundamentals of digital image capture and representation, the course addresses the mainstream areas of image processing. Through lecture, projects and paper review, the student should get enough skills to solve non-trivial problems in a broad range of applicative fields like quality control, visual communication, video surveillance, human-computer interfaces, medical imagery, and so forth.
Content Digital image representation Human perception 2D Discrete Fourier Transform Linear and non-linear filtering Orthogonal transforms and sparse approximation Image and video compression Morphological image processing Feature detection (edges, corners, textures) Segmentation and shape analysis Multimodal images registration Detection and recognition of objects Object tracking in video sequences Lecture Paper reviews and discussion Learning by projects : a number of practical problems will be solved based on conventional image processing software platforms.
Other information Pre-requisites : Signal processing, signals and systems, and stochastic processes Evaluation : . One final exam : to help you to grasp the fundaments of today's image processing . One project : it consists in the implementation and the critical analysis of an algorithm proposed in the literature . Paper reviews : students are expected to read papers before some of the classes, submit a summary for each paper, and participate in the discussion during the class Support : Slides, reference papers, and software libraries (Matlab, Open CV)
Cycle et année
d'étude
> Master [120] in Electro-mechanical Engineering
> Master [120] in Mathematical Engineering
> Master [120] in Electrical Engineering
> Master [120] in Computer Science and Engineering
> Master [120] in Biomedical Engineering
> Master [120] in Computer Science
> Master [120] in Physics
Faculty or entity
in charge
> ELEC


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