A new noise erosion operator for anisotropic diffusion

作     者：蔡超 丁名跃 周成平 张天序 

作者机构：Institute for Pattern Recognition and Artificial Intelligence State Education Commission Key Lab for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2004年第2卷第5期

页      面：268-270页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：ThisworkwassupportedbytheNationalNaturalScienceFoundationofChinaunderGrantNo.60135020FF030405 

主　　题：Anisotropic diffusion Diffusion 

摘      要：A noise erosion operator based on partial differential equation (PDE) is introduced, which has an excellent ability of noise removal and edge preservation for two-dimensional (2D) gradient data. The operator is applied to estimate a new diffusion coefficient. Experimental results demonstrate that anisotropic diffusion based on this new erosion operator can efficiently reduce noise and sharpen object boundaries.