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This paper presents a novel region merging segmentation method for color image based on color and texture distribution features. The segmentation strategy includes two phases. In the first phase, we select initial seed points for super pixels extraction in the texture energy image at average intervals. Then we implement pixels clustering to extract over segmentation regions at local areas using color...
Self-Organizing Maps (SOM) have presented excellent effect in color image segmentation; the scale of SOM will directly affect the accuracy of segmentation results. In this paper, we proposed a novel scale estimated of self-organizing map (SE-SOM) for color image segmentation based on SOM clustering. Different from conventional SOM model, it determines the number of nodes of competition layer by 3-D...
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