基于平衡正交多小波的超声图像降噪研究  

Ultrasound image de-noising study based on balanced orthogonal multiwavelet

作　　者：王修信[1] 胡维平[2] 

机构地区：[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 [2]广西师范大学计算机科学与信息工程学院,广西桂林541004

出　　处：《计算机工程与应用》2007年第1期209-211,共3页Computer Engineering and Applications

基　　金：国家自然科学基金资助项目(40271081);广西科学基金资助项目(桂科自0339036);广西高校科研基金资助项目(20022003)。

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。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.

关 键 词：图像降噪 平衡正变多小波 模糊聚类 半软闽值 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]