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Image compression: fundamental principles, compression models, variable-length coding, predictive coding, JPEG and GIF standards. (Elective)
Image segmentation: line and edge detection, boundary detection, thresholding, region-oriented approaches.
Topological approaches: representations of boundaries and regions, morphology.
Image recognition: statistical classifiers, neural network approaches. (Elective)
Advanced topics and student presentations (Elective)
Assessment: examination Grading:
regular grade 40% (including coursework and attendance of the class) final exam grade 60%