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A nonlinear decomposition algorithm for noisy texture segmentation

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3 Author(s)
Wang, D. ; Inst. Nat. des Appliquees, Rennes, France ; Haese-Coat, V. ; Ronsin, J.

A multi-size morphological decomposition algorithm is presented. It is generalized by ranked-order filters for better adaptation to noisy textures. The generalized decomposition is evaluated by its ability to segment a textured image corrupted by additive Gaussian noise with various signal to noise ratios

Published in:

Image Processing and its Applications, 1992., International Conference on

Date of Conference:

7-9 Apr 1992