%0 Journal Article
%T RAYLEIGH-DISTRIBUTION BASED MINIMUM ERROR THRESHOLDING FOR SAR IMAGES<br>SAR图像基于Rayleigh分布假设的最小误差阂值化分割
%A Xue Jinghao
%A Zhang Yujin
%A Lin Xinggang
%A <br>薛景浩
%A 章毓晋
%A 林行刚
%J 电子与信息学报
%D 1999
%I 
%X This paper presents a minimum error thresholding algorithm under the hypothesis that the gray level histogram of SAR image fitting to a mixture model of shifted Rayleigh distribution. This algorithm is applied to real SAR images and compared with traditional Otsu algorithm and other minimum error thresholding algorithms based on various models of histogram. The hypothesis of Rayleigh distribution model is confirmed by Kolmogorov-Smirnov testing and the results obtained show that the proposed new algorithm has good performance in image thresholding for SAR images.
%K SAR image
%K Rayleigh distribution
%K Minimum error thresholding
%K Kolmogorov-Smirnov testing<br>SAR图像
%K Rayleigh分布
%K 最小误差阈值化分割
%K Kolmogorov-Smirnov检验
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=AD0776F5FEFC78852D8A0E0842EB9A3F&yid=B914830F5B1D1078&vid=659D3B06EBF534A7&iid=0B39A22176CE99FB&sid=D5C73DEF4CF8FAF3&eid=4966445AEEBA9556&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=9