A Color Image Segmentation Algorithm by Using Color and Spatial Information
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    Abstract:

    An algorithm for color image segmentation, based on color and spatial information is proposed in this paper. First, color quantization is performed on an image based on the proposed color coarseness metric, and then an incremental region growing method is exploited to find the spatial connectivity of pixels with similar colors to form the initial segmented regions. Second, the initial regions are hierarchically merged based on the region distance defined by the color and spatial information. A criteria is proposed to decide the termination of the merging process. Finally, the erosion and dilation operators are used to smooth the edges of the segmented regions. The experimental results demonstrate that the color image segmentation results of the proposed approach hold favorable consistency in terms of human perception.

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叶齐祥,高文,王伟强,黄铁军.一种融合颜色和空间信息的彩色图像分割算法.软件学报,2004,15(4):522-530

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  • Received:March 21,2003
  • Revised:November 26,2003
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