[1]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,(04):81-84.
　KE Dan-dan,CAI Guang-cheng,CAO Qian-qian.An Anisotropic Diffusion Denoising Method Based on Morphological Operator[J].,2012,(04):81-84.
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基于形态学算子的各向异性扩散去噪方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年04期
页码:
81-84
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
An Anisotropic Diffusion Denoising Method Based on Morphological Operator
文章编号:
1673-629X（2012）04-0081-04
作者:
柯丹丹 蔡光程 曹倩倩
昆明理工大学理学院
Author(s):
KE Dan-dan; CAI Guang-cheng; CAO Qian-qian
Faculty of Science,Kunming University of Science and Technology
关键词:
形态学; 各向异性扩散; 图像去噪; 二阶导数; 图像梯度
Keywords:
morphology;  anisotropic diffusion;  image denoising;  second derivatives;  image gradient
分类号:
TN911.73
文献标志码:
A
摘要:
针对相干增强扩散模型采用高斯线性滤波做图像预处理的不足,及扩散张量特征值的选取不适合平坦区域的去噪,易在平坦区域产生虚假边缘,文中提出了一个基于形态学算子的各向异性扩散去噪方法。该方法首先利用形态学闭开算子代替高斯滤波做预处理,然后结合二阶方向导数设计结构张量,且依据自适应的梯度阈值设计扩散张量的特征值。数值实验结果表明,改进后的方法在有效去除噪声的同时,还能很好地保持图像的细节特征和消除平坦区域的虚假边缘
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

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备注/Memo

备注/Memo:
云南省教育重点基金（2006L001）; 昆明理工大学人才基金（2008-72）柯丹丹（1986-），女，河南驻马店人，硕士，研究方向为数字图像处理；蔡光程，教授，博士，通迅作者，研究方向为数字图像处理、科学计算
更新日期/Last Update: 1900-01-01