摘要
本文提出了一种基于图像熵的各向异性扩散滤波方法.该方法使用图像熵作为边缘检测算子,避免了由于均值和方差等统计量的估计带来的误差,提高了边缘检测能力.试验结果表明该方法能够获得比传统方法更好的相干斑噪声抑制效果.
Edge detection is the focus and difficult point for speckle reduction anisotropic diffusion. Traditional methods typically rely on the estimation of mean and variance in edge detection. The precision of the estimations influences the accuracy of edge detection. In this paper, we present an anisotropic diffusion filter based on image entropy. This method uses image entropy as an edge detector to eliminate the error due to the estimation of mean and variance, and improves the edge detection capability. The experimental results show that the visual quality and evaluation indexes of the new method outperform those of the traditional methods.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2013年第9期574-583,共10页
Acta Physica Sinica
基金
国家重点基础研究发展计划(973计划)(批准号:2011CB302601)
国家高技术研究发展计划(863计划)(批准号:2011AA01A202)
国家自然科学基金(批准号:41175025
41105063
60803039
60970033)资助的课题~~
关键词
相干斑抑制
各向异性扩散
图像熵
合成孔径雷达
speckle reduction
anisotropic diffusion
image entropy
synthetic aperture radar
