Chinese Optics Letters, 2004, 2 (5): 05268, Published Online: Jun. 6, 2006  

A new noise erosion operator for anisotropic diffusion

Author Affiliations
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
Abstract
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.

Chao Cai, Mingyue Ding, Chengping Zhou, Tianxu Zhang. A new noise erosion operator for anisotropic diffusion[J]. Chinese Optics Letters, 2004, 2(5): 05268.

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