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.
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Communication dans un congrès
International Symposium on Mathematical Morphology, May 2017, Fontainebleau, France
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Soumis le : mercredi 8 mars 2017 - 15:13:09
Dernière modification le : vendredi 27 octobre 2017 - 17:36:02

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  • HAL Id : hal-01484281, version 1
  • ARXIV : 1703.03196

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Amin Fehri, Santiago Velasco-Forero, Fernand Meyer. Prior-based Hierarchical Segmentation Highlighting Structures of Interest. International Symposium on Mathematical Morphology, May 2017, Fontainebleau, France. 〈hal-01484281〉

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