图像分割是图像处理的重要步骤，由于彩色图像含有的信息比灰度图像还多，因而对彩色图像分割的研究越来越受到人们的关注。提出一种新的基于 RGB 空间颜色相似性的彩色图像分割方法。首先比较各种颜色模型的优势与不足，然后根据 RGB 颜色空间的颜色信息和亮度信息提出一种计算在 RGB 空间下颜色相似性的方法，再结合提出的图像颜色分量计算方法，从而形成颜色分类地图，最后根据颜色分类图进行像素划分，得到分割结果。实验在 Matlab 平台上进行，结果表明：对于颜色分明的图像，该算法准确性高，有较好的健壮性和较低的计算复杂度，能很好应用在图像前景与背景分割应用上。%The research of color image segmentation attracts more and more people’s attention for color image has more information than gray image. In this paper, a novel color image segmentation method is proposed based on color similarity in RGB color space. According to the color and luminance information in RGB color space, the dominant color is determined firstly;then a scale invariant and semantic mathematic model, called SIMILATION, is exploited to calculating color similarity, and Combined with the proposed calculations method of color component, which creates a color-class map. Finally, the information of the corresponding color-class map is utilized to classify the pixels. Experimental results clearly show that the proposed color similarity based color image segmentation algorithm is accurate, robust with low computational complexity.
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