Image processing and computer vision [ LELEC2885 ]
5.0 crédits ECTS
30.0 h + 30.0 h
1q
| Teacher(s) |
De Vleeschouwer Christophe (coordinator) ;
Macq Benoît ;
Jacques Laurent (compensates 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 Physics
> Master [120] in Computer Science and Engineering
> Master [120] in Computer Science
> Master [120] in Mathematical Engineering
> Master [120] in Electrical Engineering
> Master [120] in Electro-mechanical Engineering
> Master [120] in Biomedical Engineering
|
Faculty or entity
in charge |
> ELEC
|
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