摘要
根据等照度线曲率在图像表征中的重要意义,将曲率作为一个控制传导率的因素引入非线性扩散方程,提出了一个新的曲率驱动与边缘停止相结合的非线性扩散模型,实验结果表明这一模型在图像去噪方面较经典的P-M方程具有更好的性能.
Based on the consideration of importance of isophoto curvatures for image representation, curvature, as a new control factor into the nonlinear diffusion equation to build a novel diffusion model, was introduced,which combines the Curvature-driven with Edge-stopping (C&E). The experimental results show that it performs better than the Perona & Malik Model for image filtering.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2008年第3期609-612,共4页
Acta Photonica Sinica
基金
国家自然科学基金(60573179)资助
关键词
曲率驱动
边缘停止
非线性扩散
图像滤波
Curvature-driven
Edge-stopping
Nonlinear diffusion
Image filtering