Johns Hopkins University 3 credits Electrical & Computer Engineering
This course is a continuation of EN.520.614. It covers fundamental methods for the processing and analysis of images and describes standard and modern techniques for the understanding of images by humans and computers. This second part focuses on nonlinear techniques for image processing and analysis, and more specifically techniques based on Mathematical Morphology. Topics include binary and grayscale morphological operators (erosions, dilations, openings, and closings), advanced morphological transformations (the discrete size transform, pattern spectrum, morphological skeletons), morphological filtering, morphological image reconstruction, morphological segmentation (SKIZ and the watershed transform), and morphological techniques for multi-resolution image analysis. Grad students only. Recommended course background EN.520.414 or EN.520.614. Prerequisite(s): Students may only earn credit for EN.520.415 or EN.520.615, but not both.
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