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Prior-based Hierarchical Segmentation Highlighting Structures of Interest
Abstract : Image segmentation is the process of partitioning an image into a set of meaningful regions according to some criteria. Hierarchical segmentation has emerged as a major trend in this regard as it favors the emergence of important regions at different scales. On the other hand, many methods allow us to have prior information on the position of structures of interest in the images. In this paper, we present a versatile hierarchical segmentation method that takes into account any prior spatial information and outputs a hierarchical segmentation that emphasizes the contours or regions of interest while preserving the important structures in the image. Several applications are presented that illustrate the method versatility and efficiency.
Cited literature [48 references]
https://hal.archives-ouvertes.fr/hal-02430333
Contributor : Santiago Velasco-Forero Connect in order to contact the contributor
Submitted on : Tuesday, January 7, 2020 - 11:37:30 AM
Last modification on : Wednesday, November 17, 2021 - 12:27:17 PM
Contributor : Santiago Velasco-Forero Connect in order to contact the contributor
Submitted on : Tuesday, January 7, 2020 - 11:37:30 AM
Last modification on : Wednesday, November 17, 2021 - 12:27:17 PM
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