This paper proposes rough segmentation of natural color images using fuzzy-based hierarchical algorithm. L~*a~*b~* color space is used to represent color features and Statistical Geometrical Features (SGF) are adopted as texture descriptors. Homogeneity decision makes a fusion of texture features and color features with fuzzy-rule theory. Hierarchical segmentation based on the fuzzy homogeneity decision is performed in four processes: hierarchical splitting, local agglomerative merging, global agglomerative merging and pixelwise classification. Experiments on segmentation of natural color images are presented to verify the effectiveness of the proposed approach in obtaining rough segmentation.
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