Improved Ultrasonic Image De-noising Algorithm

被引：0
|
作者：
Jiang, Lingling [1 ]
机构：
[1] Vocat & Tech Inst Anhui Ind & Trade, Dept Elect Engn, Huainan, Peoples R China
来源：
PROCEEDING OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT TECHNOLOGIES | 2009年
关键词：
wavelet transform; medical ultrasonic image; threshold de-noising; noise statistical nature;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
De-noising characteristics of soft threshold, semi-soft threshold, hard threshold and noise statistical nature in wavelet transform are analyzed; Based on this a new De-noising algorithm of medical ultrasonic image based on wavelet transform is proposed. Towards borderline blur of soft threshold algorithm, linear operation is carried out to wavelet coefficients according to maximum of wavelet coefficients in each sub-band, meanwhile, high frequency wavelet coefficients bulge of semi-soft threshold algorithm is improved. Experimental results show that the detail information is reserved well while speckle noises are efficiently removed. Also the whole visual effect is improved.
引用
收藏
页码：521 / 523
页数：3
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