集成改进Mean Shift和区域合并两种算法的图像分割Images segmentation by integrating two approaches of improved Mean Shift and region merging
周家香,朱建军,赵群河
摘要(Abstract)：
Mean Shift算法分割图像时,带宽的大小直接影响分割效果。带宽分为空间带宽和值域带宽。本文根据待分割遥感图像的空间分辨率参考选定空间带宽,基于渐近积分均方差最小原则计算每一波段值域带宽;针对MS算法分割图像时存在过分割问题,提出基于区域面积加权的区域相似度准则和基于区域熵的合并停止准则来合并分割后区域。MATLAB软件3组实验结果表明:本文方法相比EDISON软件能得到更好的分割效果,且能在一定程度上提高遥感影像分割的自动化。
关键词(KeyWords)： 改进的Mean Shift(MS);高斯核;遥感影像分割;带宽;区域合并
基金项目(Foundation): 国家高技术研究发展计划(863计划)重点项目(2009AA122004);; 国家自然科学基金青年科学基金项目(40901171)
作者(Author): 周家香,朱建军,赵群河
DOI: 10.16251/j.cnki.1009-2307.2012.06.027
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