Image Processing 2
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|Faculty||Dr Kenneth Gilhuijs
Dr. Koen Vincken (final assignment)
|Description||This course covers more advanced topics in image processing. C++ programming skills are required. Topics include segmentation (dynamic programming, region growing), Image analysis (texture) and supervised approaches (learning models from examples, active shape models). Basic pattern recognition topics (classifiers, feature spaces) are combined with image analysis techniques. There are a few smaller assignments, where C++ programming is used to implement image processing algorithms and solve image processing problems. There is also one larger practical assignment where you individually implement an algorithm from scratch based on a paper, or work on a medical image analysis application.|
|Course aims||Upon completion of the course the
|Structure||Lectures, assignments and final assignment|
|Prerequisites||Image Processing 1|
|Time + locations||Timeslots B+D
|Examination||The exam consists of 2 parts:
Processing, Analysis and Machine Vision", (Third edition) Author: M.
Sonka, ISBN: 049508252X hard cover; ISBN: 0495244384 paperback
Register (at least two weeks before the start of the course).
Internal site (for registered students only).