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COLOR IMAGE SEGMENTATION BY GRAVITATIONAL CLUSTERING IN COLOR SPACE USING NEIGHBOR-RELATIONSHIP

机译:使用邻居关系中的颜色空间中的引力聚类彩色图像分割

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In this paper, we propose a color image segmentation method based on gravitational clustering using neighbor relations in the spatial domain and distance information in RGB space among pixels. Most clustering-based segmentation algorithms use only color space distances after pixels are mapped from the spatial domain to color space, ignoring their neighbor relations; but we use both information. We use gravitational clustering, which imitates the Law of Gravity, and the gravitational force is applied only to neighboring clusters. The results show that the proposed method is effective in finding exact boundaries of regions.
机译:在本文中,我们提出了一种基于在像素中的空间域和距离信息中的相邻关系基于引力聚类的彩色图像分割方法。大多数基于聚类的分段算法仅使用像素从空间域映射到色彩空间后的颜色空间距离,忽略其邻居关系;但我们使用这两个信息。我们使用引力聚类,这模仿了重力的规律,并且重力仅应用于相邻簇。结果表明,该方法有效地发现地区的确切边界。

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