改进的各向异性扩散方程的超声图像滤波方法

许贤泽; 赵文成; 徐逢秋; 刘盼盼

doi:10.3788/OPE.20172506.1662

您当前的位置：

首页 >

文章列表页 >

改进的各向异性扩散方程的超声图像滤波方法

信息科学 | 更新时间：2020-07-07

- 改进的各向异性扩散方程的超声图像滤波方法
- Improved speckle reducing anisotropic diffusion for ultrasound image filtering
- 光学精密工程 2017年25卷第6期页码：1662-1668
- 作者机构：
  
  武汉大学电子信息学院, 湖北武汉 430072
- 作者简介：
  
  [ "许贤泽(1967-)男, 湖北京山人, 博士, 教授, 博士生导师, 1989年于合肥工业大学获得学士学位, 1992年于武汉工业大学获得硕士学位, 2002年逾武汉理工大学获得博士学位, 主要从事超声医学处理领域研究, E-mail:xxz@whu.edu.cn" ]
  徐逢秋(1990-), 男, 江西丰城人, 博士, 讲师, 2011年和2016年分别获得学士和博士学位, 主要从事精密仪器, 超声医学图像处理等方面研究, E-mail:hncxu@whu.edu.cn XU Feng-qiu, E-mail:hncxu@whu.edu.cn
- 基金信息：
  
  国家973重点基础研究资助项目(2011CB707904)
- DOI：10.3788/OPE.20172506.1662
  中图分类号： TH751.1;TP391.4
- 收稿日期：2016-12-15，
  
  录用日期：2017-2-9，
  
  纸质出版日期：2017-06-25
- 稿件说明：
移动端阅览
许贤泽, 赵文成, 徐逢秋, 等. 改进的各向异性扩散方程的超声图像滤波方法[J]. 光学精密工程, 2017,25(6):1662-1668.

Xian-ze XU, Wen-cheng ZHAO, Feng-qiu XU, et al. Improved speckle reducing anisotropic diffusion for ultrasound image filtering[J]. Optics and precision engineering, 2017, 25(6): 1662-1668.
许贤泽, 赵文成, 徐逢秋, 等. 改进的各向异性扩散方程的超声图像滤波方法[J]. 光学精密工程, 2017,25(6):1662-1668. DOI： 10.3788/OPE.20172506.1662.

Xian-ze XU, Wen-cheng ZHAO, Feng-qiu XU, et al. Improved speckle reducing anisotropic diffusion for ultrasound image filtering[J]. Optics and precision engineering, 2017, 25(6): 1662-1668. DOI： 10.3788/OPE.20172506.1662.

摘要

针对传统各项异性扩散模型容易产生板块分区，模糊图像细节等问题，提出一种改进的各项异性滤波算法。该方法引用双曲正切函数构造扩散模型的扩散系数，避免了传统各项异性扩散模型在均匀区域产生的板块分区问题；并通过使用衰减因子提高在非均匀区域的扩散敏感性，能够更好地保留图像的边缘细节信息；同时引入相对平滑增量，自适应监控图像的滤波程度，并自动终止迭代过程。仿真实验表明，提出的滤波方法能够有效滤除超声图像斑点噪声，并消除传统各项异性扩散模型产生的板块分区问题，提高了对图像细节信息的保留能力，并增强了与原图像的结构相似度，是一种有效的斑点噪声降噪方法。

Abstract

In order to eliminate the block effect and the blurring details of images caused by the traditional speckle reducing anisotropic diffusion

an improved anisotropic diffusion algorithm was proposed

in which a new diffusion coefficient constituted by the hyperbolic tangent function was used to replace the original diffusion coefficient

thus can wipe off the block effect in the uniform region of images. A damping factor was used to guide the speed of attenuation in the no-uniform area

thus reserving the details and the weak edges of images. In the meanwhile

the relative smooth increment was introduced to monitor the degree of filtering automatically

and could stop the iteration process of the partial differential equation adaptively. The experiments show that the proposed method can not only filter the speckle noises of the images effectively

but also eliminate the block effect problem lead by the traditional anisotropic diffusion. In addition

it can improve the ability of preserving the detail informations of images and enhance the structural similarity between the filtered images and the original images.

关键词

Keywords

references

汪源源, 焦静.改进型脉冲耦合神经网络检测乳腺肿瘤超声图像感兴趣区域[J].光学精密工程, 2011, 19(6):1398-1405.

WANG Y Y, JIAO J. Detection of regions of inter-est from breast tumor ultrasound images using im-proved PCNN [J]. Opt. Precision Eng., 2011, 19 (6):1398-1405.(in Chinese)

王红玉, 冯筠, 崔磊, 等.应用显著纹理特征的医学图像配准[J].光学精密工程, 2015, 23(9):2656-2665.

WANG H Y, FENG J, CUI L, et al.. Medical image registration based on salient texture[J].Opt. Precision Eng., 2015, 23(9):2656-2665.(in Chinese)

崔珊珊, 李琦.基于小波变换的太赫兹数字全息再现像去噪研究[J].红外与激光工程, 2015, (6):1836-1840.

CUI S S, LI Q. De-noising research on terahertz digital holography based on wavelet transform[J]. Infrared and Laser Engineering, 2015, (6):1836-1840.(in Chinese)

徐冬, 孙蕾, 罗建书, 等.结合NAPCA和复小波变换的高光谱遥感图像去噪[J].红外与激光工程.2015, (1):327-334.

XU D, SUN L, LUO J S, et al.. Denoising of hyperspectral remote sensing imagery using NAPCA and complex wavelet transform[J]. Infrared and Laser Engineering. 2015, (1):327-334.(in Chinese)

董雪, 林志贤, 郭太良, 等.基于LoG算子改进的自适应阈值小波去噪算法[J].液晶与显示, 2014, 29(2):275-280.

DONG X, LIN Z X, GUO T L, et al.. Improved self-adaptive threshold wavelet denoising analysis based on LoGoperator[J]. Chinese Journal of Liquid Crystals and Displays. 2014, 29(2):275-280.(in Chinese)

PERONA P, MALIK J. Scale-space and edge detection using anisotropic diffusion[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(7):629-639.

YONG J Y, ACTON S T. Speckle reducing anisotropic diffusion[J]. IEEE Transactions on Image Processing, 2002, 11(11):1260-1270.

唐玲, 陈明举.基于图像局部方向特性的自适应全变分去噪模型[J].液晶与显示, 2016, 31(5):477-483.

TANG L, CHEN M J. Adaptive directional total variation denoising model based on image local direction[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(5):477-483.(in Chinese)

李灿飞, 王耀南, 肖昌炎, 等.用于超声斑点噪声滤波的各向异性扩散新模型[J].自动化学报, 2012, 38(3):412-419.

LI C F, WANG Y N, XIAO CH Y, et al.. A New Speckle Reducing Anisotropic Diffusion for Ultrasonic Speckle [J]. Acta Automatica Sinica, 2012, 38(3):412-419.(in Chinese)

吴俊, 汪源源, 陈悦, 等.基于同质区域自动选取的各向异性扩散超声图像去噪[J].光学精密工程, 2014, 22(5):1312-1321.

WU J, WANG Y Y, CHEN Y, et al.. Speckle reduction of ultrasound images with anisotropic diffusion based on homogeneous region automatic selection [J]. Opt. Precision Eng., 2014, 22(5):1312-1321.(in Chinese)

王灿进, 石宁宁, 孙涛, 等.基于光纹特征的激光主动照明图像去模糊[J].光学精密工程, 2016, 24(5):1159-1167.

WANG C J, SHI N N, SUN T, et al.. Image deblurring for laser active illumination based on light vein features[J]. Opt. Precision Eng., 2016, 24(5):1159-1167.(in Chinese)

WANG Z, BOVIK A C, SHERKH H R, et al.. Image quality assessment: From error visibility to structural similarity[J]. IEEE Trans on Image Processing, 2004, 13(4):600-612.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于同质区域自动选取的各向异性扩散超声图像去噪

面向可见光和SAR影像配准的特征点检测

多层次信息融合在铁谱图像磨粒识别中的应用

紫外-可见双光谱成像系统的紫外图像滤波

基于脉冲耦合神经网络模型的小波自适应斑点噪声滤除算法