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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Texture Segmentation by Morphological Probabilistic Hierarchies
verfasst von : Prof. Dominique Jeulin
Erschienen in: Morphological Models of Random Structures
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A general methodology is introduced for probabilistic 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 set up in a probabilistic framework by means of probabilistic distances conveying the textural or morphological 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.