2、分割的传统方法是对灰度图像分割，处理图像的亮度分量，简单快速。但却忽略了图像中很大一部分信息：色彩，因此分割效果不佳。对彩色图像分割的研究一直是图像处理的焦点，它采用各种颜色空间模型，使得图像分割更全面，更精确。本论文首先介绍了传统的图像分割与聚类算法分割，然后重点介绍一种基于K-均值聚类算法的图像改进分割方法。实验结果表明,改进的分割方法能够实时稳定的对目标分割提取，分割效果良好。关键词：K-均值聚类；图像分割；聚类算法AbstractIn an image, the scene is often
3、 alargenumberof targets, reflectedin many are- asin theimage.Imagesegmentation is animportant imageanalysistechniqueofwiththeluminancecomponent of the image，simpleandfast.Butitignores alarge partoftheinformation in the image: color,so the poorsegmentat
4、ionresults.Researchon colorimagesegmentation hasbeen the focus of imageprocessing,which usesa variety of color spacemodel,makingthe segmentation morecomprehensiveandmoreaccurate.Thispaperfirst describes the traditionalimagesegmentation and clusteringal
5、gorithm topartition,andthen focuseson a segmentationmethod basedon the K- meansclusteringalgorithmforimage improvement.The experimentalresultsshowthat the segmentation methodcan improve real-timestabilityof segmentation toext-ract thetarget partition t
