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A Color Image Segmentation Algorithm based on Region Merging using Hue Differences  

박영식 (경주대학교 컴퓨터전자공학부)
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Abstract
This paper describes a color image segmentation algorithm based on region merging using hue difference as a restrictive condition. The proposed algorithm using mathematical morphology and a modified watershed algorithm does over-segmentation in the RGB space to preserve contour information of regions. Then, the segmentation result of color image is acquired by repeated region merging using hue differences as a restrictive condition. This stems from human visual system based on hue, saturation, and intensity. Hue difference between two regions is used as a restrictive condition for region merging because it becomes more important factor than color difference if intensity is not low. Simulation results show that the proposed color image segmentation algorithm provides efficient segmentation results with the predefined number of regions for various color images.
Keywords
칼라영상분할;수리형태학;색상;워터쉐드;영역병합;
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Times Cited By KSCI : 1  (Citation Analysis)
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