Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75307
Title: Texture segmentation by fuzzy clustering of spatial patterns
Authors: Xia, Y
Zhao, R
Zhang, Y
Sun, J
Feng, D 
Issue Date: 2006
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2006, v. 4223 LNCS, no. , p. 894-897 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: An approach to perceptual segmentation of textured images by fuzzy clustering of spatial patterns is proposed in this paper. The dissimilarity between a texture feature, which is modeled as a spatial pattern, and each cluster is calculated as a combination of the Euclidean distance in the feature space and the spatial dissimilarity, which reflects how much of the pattern’s neighborhood is occupied by other clusters. The proposed algorithm has been applied to the segmentation of texture mosaics. The results of comparative experiments demonstrate that the proposed approach can segment textured images more effectively and provide more robust segmentations.
Description: International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006, 24-28 September 2006, Xi’an, China
URI: http://hdl.handle.net/10397/75307
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/11881599_111
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