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A multiresolution color image segmentation method is presented that incorporates the main principles of region-based and cluster analysis approaches. A multiscale dissimilarity measure in the feature space is proposed that makes use of nonparametric cluster validity analysis and fuzzy C-Means clustering. Detected clusters are utilized to assign membership functions to the image regions. In addition, a graph theoretic merging algorithm is presented that uses the formulation of fuzzy similarity relations to produce the final segmentation results. The efficiency of the resulting scheme is also experimentally indicated.
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on (Volume:1 )
Date of Conference: 14-17 Sept. 2003