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Interactive segmentation based on component-trees

Abstract : Component-trees associate to a discrete gray-level image a descriptive data structure induced by the inclusion relation between the binary components obtained at successive level-sets. This article presents an interactive segmentation methodology based on component-trees. It consists of the extraction of a subset of the image component-tree, enabling the generation of a binary object which fits at best (with respect to the gray-level structure of the image) a given binary target selected beforehand in the image. Compared to other interactive segmentation methods, the proposed methodology has the following advantages: (i) the segmentation result is only composed of a union of connected components of the level-sets, which ensures that no "false contours" are included; (ii) only one image marker is needed: in particular, there is no need to give a marker for the background (contrary to some other methods); (iii) the method is fast and efficient, leading to a result computed in real-time on common image sizes.
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https://hal.univ-reims.fr/hal-01694403
Contributor : Nicolas Passat Connect in order to contact the contributor
Submitted on : Wednesday, February 28, 2018 - 8:38:55 PM
Last modification on : Wednesday, December 1, 2021 - 3:32:11 PM
Long-term archiving on: : Monday, May 28, 2018 - 4:39:51 PM

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Benoît Naegel, Nicolas Passat. Interactive segmentation based on component-trees. Image Processing On Line, IPOL - Image Processing on Line, 2014, 4, pp.89-97. ⟨10.5201/ipol.2014.71⟩. ⟨hal-01694403⟩

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