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一种适用于SAR图像的2维Otsu改进算法
引用本文:朱 俊,王世唏,计科峰,粟 毅.一种适用于SAR图像的2维Otsu改进算法[J].中国图象图形学报,2009,14(1):14-18.
作者姓名:朱 俊  王世唏  计科峰  粟 毅
作者单位:国防科技大学电子科学与工程学院,长沙 410073
基金项目:武器装备预研重点基金项目(9140A03010407KG0113)
摘    要:Otsu法是图像阈值分割中的经典算法之一,在图像处理中得到广泛的应用。针对原始2维Otsu法直方图区域划分上的缺陷和运算速度慢的缺点,分析了适用于SAR图像相干斑乘性噪声的直方图区域划分方法,提出了一种更符合实际图像模型的阈值选取准则。实验结果表明,该改进算法的分割效果良好,运算速度也有很大提高。

关 键 词:阈值分割  Otsu法  2维直方图  最大类问方差  合成孔径雷达(SAR)
收稿时间:2007/10/31 0:00:00
修稿时间:2008/3/14 0:00:00

Improved 2D Otsu Algorithm for SAR Images
ZHU Jun,WANG Shixi,JI Kefeng and SU Yi.Improved 2D Otsu Algorithm for SAR Images[J].Journal of Image and Graphics,2009,14(1):14-18.
Authors:ZHU Jun  WANG Shixi  JI Kefeng and SU Yi
Affiliation:School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073
Abstract:As one of the classic threshold methods for image segmentation, Otsu algorithm has been widely applied in image processing. Based on the analysis of the original 2D Otsu which has the disadvantages such as histogram area partition and time consuming, this paper introduces a new method of area partition in terms of speckle noise in SAR images, and brings forward a new rule of threshold selection which fits the image model better. The experiments show that the segmentation effect of the improved algorithm is better and its computational speed has been greatly improved.
Keywords:threshold segmentation  Otsu algorithm  2D histogram  maximum between-class variance  SAR
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