首页 | 本学科首页   官方微博 | 高级检索  
     

基于平衡正交多小波的超声图像降噪研究
引用本文:王修信,胡维平.基于平衡正交多小波的超声图像降噪研究[J].计算机工程与应用,2007,43(1):209-211.
作者姓名:王修信  胡维平
作者单位:1. 北京师范大学,地理学与遥感科学学院,遥感与地理信息系统研究中心,北京,100875;遥感科学国家重点实验室,北京,100875;环境遥感与数字城市北京市重点实验室,北京,100875;广西师范大学,计算机科学与信息工程学院,广西,桂林,541004
2. 广西师范大学,计算机科学与信息工程学院,广西,桂林,541004
基金项目:国家自然科学基金 , 广西科学基金 , 广西高校科研项目
摘    要:医学超声图像存在特有的斑点噪声,它大大降低了超声图像的质量,因此必须进行降噪处理。平衡正交多小波同时满足正交性和对称性,具有比单小波分解更加精确、去噪效果更好的特点。故对超声图像进行平衡正交多小波分解,然后利用模糊聚类与半软阈值相结合方法对小波系数进行萎缩处理,实现降噪目的。结果表明该方法优于硬阈值和软阈值方法,可以有效地降低原图像的斑点噪声并保留图像细节。

关 键 词:图像降噪  平衡正交多小波  模糊聚类  半软阈值
文章编号:1002-8331(2007)01-0209-03
修稿时间:2006-08

Ultrasound image de-noising study based on balanced orthogonal multiwavelet
WANG Xiu-xin,HU Wei-ping.Ultrasound image de-noising study based on balanced orthogonal multiwavelet[J].Computer Engineering and Applications,2007,43(1):209-211.
Authors:WANG Xiu-xin  HU Wei-ping
Affiliation:1.Research Center for Remote Sensing and GIS,School of Geography,Beijing Normal University,Beijing 100875 ,China;2.State Key Laboratory of Remote Sensing Science,Beijing 100875,China ;3.Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities,Beijing 100875,China; 4.College of Computer Science and Information Technology, Guangxi Normal University,Guilin,Guangxi 541004,China
Abstract:There are inherent speckle noises in the medical ultrasound image,The image denoising is necessary for the lower image quality.The balanced orthogonal multiwavelet has both orthogonal and symmetry.It has higher resolution and better denoising effect than the scalar wavelet.Therefore,the ultrasound medical image is discomposed to multiwavelet domain.Then its coefficients are shrunk by fuzzy clustering with semi-soft threshold for image de-noising.The result indicates that the method is more effective than hard threshold and soft threshold.The speckle noise in the original image can be removed efficiently and at the same time the image details can he reserved.
Keywords:image denoising  balanced orthogonal multiwavelet  fuzzy clustering  semi-sott threshold
本文献已被 CNKI 维普 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