计算机技术与发展2012，Vol.22Issue(4)：81-84,4.
基于形态学算子的各向异性扩散去噪方法
An Anisotropic Diffusion Denoising Method Based on Morphological Operator
摘要
Abstract
According to the shortcoming of image preprocessing by Gauss linear filter in coherence enhancing diffusion model, and the eigenvalues of diffusion tensor are not suitable for denoisng in flat area, false edge often induces in plain area, it proposes an anisotropic diffusion denoising method based on morphological operator. This method firstly uses morphological close-open operator instead of Gauss filter to do pretreatment, then structure tensor is designed by second directional derivatives, and eigenvalues of diffusion tensor are devised according to adaptive gradient threshold value. The numerical experiments show that the improved model is capable of removing noise efficiently, preserving the details of image characteristics and eliminating the false edge in plain area commendably.关键词
形态学/各向异性扩散/图像去噪/二阶导数/图像梯度Key words
morphology/anisotropic diffusion/ image denoising/ second derivatives/ image gradient分类
信息技术与安全科学引用本文复制引用
柯丹丹,蔡光程,曹倩倩..基于形态学算子的各向异性扩散去噪方法[J].计算机技术与发展,2012,22(4):81-84,4.基金项目
云南省教育重点基金(2006L001) （2006L001）
昆明理工大学人才基金(2008-72) （2008-72）
