CAJ | 학술논문

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.
본문제출료일충기우도상적적각향이성확산려파방법.해방법사용도상적작위변연검측산자,피면료유우균치화방차등통계량적고계대래적오차,제고료변연검측능력.시험결과표명해방법능구획득비전통방법경호적상간반조성억제효과.
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.