基于同质区域自动选取的各向异性扩散超声图像去噪

吴俊; 汪源源; 陈悦; 余锦华; 庞芸

doi:10.3788/OPE.20142205.1312

您当前的位置：

首页 >

文章列表页 >

基于同质区域自动选取的各向异性扩散超声图像去噪

信息科学 | 更新时间：2020-08-13

- 基于同质区域自动选取的各向异性扩散超声图像去噪
- Speckle reduction of ultrasound images with anisotropic diffusion based on homogeneous region automatic selection
- 光学精密工程 2014年22卷第5期页码：1312-1321
- 作者机构：
  
  1. 复旦大学电子工程系上海,200433
  2. 云南大学电子工程系,云南昆明,650091
  3. 复旦大学附属华东医院超声科上海,200040
- 作者简介：
- 基金信息：
  
  国家自然科学基金资助项目（No.61271071，No.11228411）();国家科技支撑计划资助项目（No.2012BAI13B02）()
- DOI：10.3788/OPE.20142205.1312
  中图分类号： R319;TP391.4
- 收稿日期：2013-08-30，
  
  修回日期：2013-10-15，
  
  纸质出版日期：2014-05-25
- 稿件说明：
移动端阅览
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 Jun, WANG Yuan-yuan, CHEN Yue etc. Speckle reduction of ultrasound images with anisotropic diffusion based on homogeneous region automatic selection[J]. Editorial Office of Optics and Precision Engineering, 2014,22(5): 1312-1321
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 DOI： 10.3788/OPE.20142205.1312.

WU Jun, WANG Yuan-yuan, CHEN Yue etc. Speckle reduction of ultrasound images with anisotropic diffusion based on homogeneous region automatic selection[J]. Editorial Office of Optics and Precision Engineering, 2014,22(5): 1312-1321 DOI： 10.3788/OPE.20142205.1312.

摘要

提出一种自适应选取各向异性扩散滤波器扩散参数的方法，以提高滤波器的有效性和稳定性。首先，使用最大类间方差二值化算法确定超声图像的最优二值化阈值，并将该阈值作为区域均匀性标准对超声图像进行四叉树分解。然后，按从大到小的顺序从分解结果中取出所有当前最大分块，根据最优同质区域分块判决依据进行优选。最后，使用最优同质区域选取结果计算扩散参数，对超声图像进行各向异性扩散滤波。结果表明，本方法优于斑点降噪各向异性扩散（SRAD）和细节保留各向异性扩散（DPAD）两种典型的自动选取扩散参数方法，能在显著减少运算时间的同时使平均图像佳数较前两种方法分别提高0.029和0.129。本方法避免了对人工同质区域选取的依赖，可准确计算扩散参数，在噪声消除和边缘保护上达到有效的平衡，是一种有效的超声图像降噪方法。

Abstract

An adaptive selection method of diffusion threshold was proposed to improve the effectiveness and stability of a filter in speckle reduction of ultrasound images.An optimal threshold of the ultrasound image was determined by the Otsu binarization algorithm.Then

the ultrasound image was divided into blocks by Quad tree decomposition using the optimal threshold as the criterion of homogeneity.In descending order of the size

the present maximal blocks were picked up from the Quad tree decomposition result

and an optimal homogeneous region of the ultrasound image was selected by the proposed selection criteria.Finally

the diffusion threshold was obtained by analyzing statistical features of the optimal homogeneous region

and the ultrasound image was filtered using this diffusion threshold.The results demonstrate that the proposed method has better performance comparing with the Speckle Reducing Anisotropic Diffusion (SRAD)method and the Detail Preserving Anisotropic Diffusion (DPAD) method.It reduces the operation time effectively

and the average figure-of-merit by using the proposed method is 0.029

0.129 higher than those by using other two mentioned methods.The proposed method avoids the manual selection of homogeneous area and can estimate the diffusion threshold accurately

which can reduce the speckles effectively while preserving the edges.

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 interest from breast tumor ultrasound images using improved PCNN [J].Opt.Precision Eng.,2011, 19(6):1398-1405.(in Chinese)

余锦华, 汪源源. 基于各向异性扩散的图像降噪算法综述[J]. 电子测量与仪器学报, 2011, 25(2):105-116. YU J H,WANG Y Y.Image noise reduction based on anisotropic diffusion:A survey [J].Journal of Electronic Measurement and Instrument,2011,25(2):105-116.(in Chinese)

李云红,伊欣. 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[J]. 光学精密工程, 2012, 20(9):2060-2067. LI Y H,YI X.Wavelet adaptive denoising method based on PCNN [J].Opt.Precision Eng.,2012, 20(9):2060-2067.(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.

任文琦,王元全. 基于梯度矢量卷积场的四阶各向异性扩散及图像去噪[J]. 光学精密工程, 2013, 21(10):2713-2719. REN W Q,WANG Y Q.GVC-based fourth-order anisotropic diffusion for image denoising [J].Opt.Precision Eng.,2013, 21(10):2713-2719.(in Chinese)

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

张麒, 汪源源, 王威琪, 等. 基于活动轮廓模型和Contourlet多分辨率分析分割血管内超声图像[J]. 光学精密工程, 2008, 16(11):2303-2312. ZHANG Q, WANG Y Y, WANG W Q, et al..Intravascular ultrasound image segmentation based on active Contour model and Contourlet multiresolution analysis [J].Opt.Precision Eng., 2008, 16(11):2303-2312.(in Chinese)

张麒, 汪源源, 马剑英, 等. 基于血管内超声图像自动识别易损斑块[J]. 光学精密工程, 2011, 19(10):2507-2519. ZHANG Q, WANG Y Y, MA J Y, et al..Automatic identification of vulnerable plaques based on intravascular ultrasound images [J].Opt.Precision Eng. , 2011, 19(10):2507-2519.(in Chinese)

SANTIAGO A F, CARLOS A L.On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering [J].IEEE Transactions on Image Processing, 2006, 15(9):2694-2701.

YU Y J, ACTON S T.Edge detection in ultrasound imagery using the instantaneous coefficient of variation [J].IEEE Transactions on Image Processing, 2004, 13(12):1640-1655.

SANTIAGO A F, GONZALO V S F, MARCOS M F, et al..Automatic noise estimation in images using local statistics.Additive and multiplicative cases [J].Image and Vision Computing, 2009, 27(6):756-770.

SUN Q L, HOSSACK J A, TANG J S, et al..Speckle reducing anisotropic diffusion for 3D ultrasound images [J].Computerized Medical Imaging and Graphics, 2004, 28(8):461-470.

SAMET H.The quadtree and related hierarchical data structures [J].ACM Computing Surveys, 1984, 16(2):187-260.

JAGADEESH P,NAGABHUSHAN P,PRADEEP K R.A novel image scrambling technique based on information entropy and quad tree decomposition [J].IJCSI International Journal of Computer Science Issues,2013,10(1):285-294.

OTSU N.A threshold selection method from gray-level histograms [J].IEEE Transactions on Systems, Man, and Cybernetics, 1979, SMC-9(1):62-66.

PIEDERRIERE Y, MEUR J L, CARIOU J,et al..Particle aggregation monitoring by speckle size measurement;application to blood platelets aggregation [J].Optics Express, 2004, 12(19):4596-4601.

ZHANG G, WU ZH S, LI Y H.Speckle size of light scattered from 3D rough objects [J].Optics Express, 2012, 20(4):4726-4737.

CANNY J.A computational approach to edge detection [J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, PAMI-8(6):679-698.

浏览量

658

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

改进的各向异性扩散方程的超声图像滤波方法

面向可见光和SAR影像配准的特征点检测

三维距离图像基于特征估计的自适应平滑

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