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- W1582646572 abstract "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." @default.
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- W1582646572 date "2004-06-21" @default.
- W1582646572 modified "2023-10-18" @default.
- W1582646572 title "Color image segmentation using multiscale fuzzy C-means and graph theoretic merging" @default.
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- W1582646572 doi "https://doi.org/10.1109/icip.2003.1247130" @default.
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