This paper describes a new method for fuzzy segmentation based on spatial constraints. Taking into account the neighborhood influence two techniques are used. First a new feature is derived from Peano scans to represent a spatial relationship among neighbors. Second we incorporate a regularization term to fuzzy C-means algorithm (FCM). The algorithm is tested on both synthetic and multispectral images. Experimental results are presented and discussed. They show the effectiveness of the method.
A modified FCM with optimal Peano scans for image segmentation
IEEE International Conference on Image Processing 2005 ; 3 ; III-840
01.01.2005
139765 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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