Color Image Segmentation Based on Automatic Seed Pixel Selection
نویسندگان
چکیده
In this paper, we present color image segmentation based on automatic seed pixel selection. First, the input RGB color image is transformed into HSVcolor space. Second, the initial seeds are automatically selected based on non-edge and smoothness at pixel’s neighbor as criterion. Third, the seed pixels are merged to form seed region if they are connected. Fourth, a seeded region growing method is used to segment the image based on seed regions. Finally, region-merging is used to merge similar or small regions. This method is applied to segment many natural color images, and experimental results show the effectiveness and efficiency of the method. Keywordsimage segmentation; seed selection; region growing; region merging.
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