The field of mathematical morphology offers well-studied techniques for imageprocessing . We demonstrate that morphological operations naturally form amultiparameter filtration and that persistent homology can then be used to extract information about both topology and geometry in the images . For illustration, we apply this framework to analyze noisy binary,grayscale, and color images. For illustration we apply it to analyze noise binary, grayscale and color .

Author(s) : Yu-Min Chung, Sarah Day, Chuan-Shen Hu

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Coursera

Keywords : grayscale - analyze - mathematical - morphology - images -

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