An Improved Method on Non-subsampled Contourlet Transform Ultrasonic Image Denoising

被引：0
|
作者：
Huang, Shuo [1 ]
Sun, Yu [1 ]
Wan, Suiren [1 ]
Huang, Jiansheng [2 ]
机构：
[1] Southeast Univ, Sch Biol Sci & Med Engn, Nanjing 210096, Jiangsu, Peoples R China
[2] Jining Ind Technican Coll, Dept Comp Numer Control Technol, Yanzhou 272100, Peoples R China
来源：
2018 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (CSSE 2018) | 2018年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The non-subsampled contourlet transform (NSCT) is a good approach in capturing the detail of images, so that it has a wide range of applications in image denoising. In order to improve the denoising effect of NSCT method of medical ultrasound images, the local intuitionistic fuzzy entropy (LIFE) theory is employed in this work to suppress the noise in the high-frequency coefficients of NSCT. On combination with the LIFE theory and the directionality of the coefficients' distribution of NSCT, the directional local intuitionistic fuzzy entropy (DLIFE) method has been put forward to calculate the corresponding noise suppression factor to remove the noise in the high-frequency coefficients of NSCT. The experiments on both Barbara image and medical ultrasound image show a better denoising effect than the original NSCT soft threshold method and the wavelet soft threshold method.
引用
收藏
页码：140 / 147
页数：8
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