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基于均值偏移的彩色图像分割算法
Color image segmentation algorithm based on mean shift
【摘要】 提出了一种基于均值偏移的彩色图像分割算法。首先阐述了在CIE-LUV均匀彩色模型下均值偏移算法的基本原理,然后给出了在图像分割中的具体实现方法:选定一个像素,在适当的空间窗和色彩窗限定的特征空间中寻找模式点,实现窗口中心从选定点到模式点的偏移,重复此过程,直到找到稳定的模式点并用模式点的色彩值代替该像素,遍历所有像素,最终达到对所有像素进行聚类。通过两幅图像对算法进行检验,实验结果证明该算法对彩色图像具有良好的分割效果。
【Abstract】 A color image segmentation algorithm based on mean shift was proposed.The basic principle of the mean shift algorithm under CIE-LUV color mode was demonstrated.The color image segmentation process methods were given.That is to select a pixel,find the mode in a given feature window and let the center of the window shift to the mode,repeat this operation until find a convergent mode,run this procedure for all the pixels and finally obtain the segmented image.Experiment results on two different color images show that the proposed algorithm can get excellent segmentation.
- 【文献出处】 计算机应用 ,Journal of Computer Applications , 编辑部邮箱 ,2006年07期
- 【分类号】TP391.41
- 【被引频次】33
- 【下载频次】633