Homology Functionality for Grayscale Image Segmentation

Abstract : Topological tools provide features about spaces, which are insensitive to continuous deformations. Applied to images, the topological analysis reveals important characteristics: how many connected components are present, which ones have holes and how many, how are they related one to another, how to measure them and find their locations. We show in this paper that the extraction of such features by computing persistent homology is suitable for grayscale image segmentation.
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Contributor : Alban Goupil <>
Submitted on : Wednesday, April 24, 2019 - 11:16:28 AM
Last modification on : Thursday, April 25, 2019 - 1:34:46 AM

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Research Article, Rabih Assaf, Alban Goupil, Valeriu Vrabie, Mohammad Kacim. Homology Functionality for Grayscale Image Segmentation. Current Research in Information Technology, Mathematical Sciences, 2016, 8, pp.281 - 286. ⟨hal-02108426⟩

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