首页 | 本学科首页   官方微博 | 高级检索  
     

改进的各向异性复扩散模型的医学图像去噪方法
引用本文:张美玉,张素琼,秦绪佳,徐晓刚.改进的各向异性复扩散模型的医学图像去噪方法[J].小型微型计算机系统,2010,31(5).
作者姓名:张美玉  张素琼  秦绪佳  徐晓刚
作者单位:1. 浙江工业大学,计算机科学与技术学院,浙江,杭州,310032
2. 大连舰艇学院,装备系统与自动化系,辽宁,大连,116018;浙江大学,CAD&CG国家重点实验室,浙江,杭州,310027
基金项目:国家自然科学基金,国家科技支撑计划,浙江省自然科学基金,浙江省科技计划项目 
摘    要:对医学图像进行有效的去噪并保持边缘信息,有利于图像的后续处理.本文分析P-M模型和Gilboa的复扩散模型以及它们的不足,提出一种改进的各向异性复扩散模型.该方法先用中值滤波对图像进行预处理,去除梯度值大的噪声点,然后用图像的虚部求扩散系数,以此引导扩散模型中的边缘检测函数,再进行八邻域像素的扩散过程.实验表明,该方法能达到较理想的去噪和保持边缘的效果,而且减少了迭代次数,缩短了计算时间.

关 键 词:医学图像去噪  偏微分方程  P-M模型  各向异性复扩散

Improved Anisotropic Complex Diffusion Model for Medical Image Denoising
ZHANG Mei-yu,ZHANG Su-qiong,QIN Xu-jia,XU Xiao-gang.Improved Anisotropic Complex Diffusion Model for Medical Image Denoising[J].Mini-micro Systems,2010,31(5).
Authors:ZHANG Mei-yu  ZHANG Su-qiong  QIN Xu-jia  XU Xiao-gang
Affiliation:ZHANG Mei-yu1,ZHANG Su-qiong1,QIN Xu-jia1,XU Xiao-gang2,31 (School of Computer Science , Technology,Zhejiang University of Technology,Hangzhou 310032,China)2 (Department of Equipment System , Automatization,Dalian Naval Academy,Dalian 116018,China)3 (State Key Lab of CAD&CG,Zhejiang University,Hangzhou 310027,China)
Abstract:For the purpose of further processing,it is necessary to remove noisy while keeping the edge's information in medical processing. In this paper,the P-M model and Gilboa's complex diffusion model as well as their disadvantages are discussed. An improved anisotropic complex diffusion model for medical image denoising is proposed. The method applies median filter to pre-processing the image for removing the pixels with high gradient firstly. Then use the image's imaginary part for diffusion coefficient solving...
Keywords:medical image denoising  partial differential equations  P-M model  anisotropic complex diffusion  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号