Prior-based Hierarchical Segmentation Highlighting Structures of Interest

Amin Fehri (1) , Santiago Velasco-Forero (1) , Fernand Meyer (1)

1 CMM - Centre de Morphologie Mathématique

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.

Mots clés: Mathematical Morphology; Hierarchies; Segmentation; Prior-based Segmentation; Stochastic Watershed

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]

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⟩