A probabilistic approach of textures hierarchical segmentation

Dominique Jeulin (1)

1 CMM - Centre de Morphologie Mathématique

A general methodology is introduced for texture segmentation in binary, scalar, or multispectral images. Textural information is obtained from morphological operations on images. Starting from a …fine partition of the image in regions, hierarchical segmentations are designed in a probabilistic framework by means of probabilistic distances conveying the textural information, and of random markers accounting for the morphological content of the regions and of their spatial arrangement. The probabilistic hierarchies are built from binary or multiple fusion of regions.

Mots clés: texture segmentation; morphological operations; multivariate images; random markers; probabilistic segmentation; hierarchical segmentation; Poisson process

Domaines: Traitement du signal et de l'image [eess.SP]

Dominique Jeulin. A probabilistic approach of textures hierarchical segmentation. 2015. ⟨hal-01126741v1⟩