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基于树状小波的超声医学图像阈值函数降噪
引用本文:王修信,胡维平,梁冬冬,覃以威,周建玲,王强. 基于树状小波的超声医学图像阈值函数降噪[J]. 中国医学物理学杂志, 2005, 22(2): 479-480,459
作者姓名:王修信  胡维平  梁冬冬  覃以威  周建玲  王强
作者单位:1. 广西师范大学物理与信息工程学院,广西,桂林,541004;北京师范大学,地理学与遥感科学学院,北京,100875
2. 北京师范大学,地理学与遥感科学学院,北京,100875
基金项目:广西自然科学基金,广西教育厅科研项目
摘    要:
针对超声医学图像中存在特有的斑点噪声,利用树状小波分解比传统小波分解精度高的特点,将超声医学图像进行树状小波分解,然后分别采用硬阈值、软阈值和半软阈值函数三种方法进行降噪处理.结果表明半软阈值函数方法是较优阈值函数方法,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:超声医学图像  树状小波分析  阈值函数降噪
文章编号:1005-202(2005)02-0479-02

The De-noising of the Ultrasound Medical Image with Threshold Functions Based on Tree-structure Wavelet Analysis
WANG Xiu-xin,HU Wei-ping,LIANG Dong-dong,QIN Yi-wei,ZHOU Jian-ling,WANG Qiang. The De-noising of the Ultrasound Medical Image with Threshold Functions Based on Tree-structure Wavelet Analysis[J]. Chinese Journal of Medical Physics, 2005, 22(2): 479-480,459
Authors:WANG Xiu-xin  HU Wei-ping  LIANG Dong-dong  QIN Yi-wei  ZHOU Jian-ling  WANG Qiang
Abstract:
There were inherent speckle noises in the ultrasound medical image. Th e tree-structure wavelet had higher resolution than the conventional wavelet. Th erefore, the ultrasound medical image was discomposed to the tree-structure wave let domain. Then its coefficients were shrunk with the three methods of hard thr eshold, soft threshold, and semi-soft threshold function differently for the ima ge de-noising. The result indicated that the semi-soft threshold was the effecti ve function method. The speckle noise in the original image was removed efficien tly and at the same time the image details were reserved.
Keywords:ultrasound medical image  tree-structure wavelet analysis  de-noising with threshold functions
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