分数阶微分加权引导滤波对超声图像的纹理保持

陈晓冬; 吉佳瑞; 盛婧; 金浩; 蔡怀宇

doi:10.3788/OPE.20202801.0174

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分数阶微分加权引导滤波对超声图像的纹理保持

信息科学 | 更新时间：2020-08-13

- 分数阶微分加权引导滤波对超声图像的纹理保持
- Fractional differential weighted guided filtering for image texture preservation for medical ultrasound
- 光学精密工程 2020年28卷第1期页码：174-181
- 作者机构：
  
  1.天津大学精密仪器与光电子工程学院光电信息技术教育部重点实验室, 天津 300072
  2.北京华科创智健康科技股份有限公司, 北京 100195
- 作者简介：
  
  [ "陈晓冬(1975-)，男，浙江人，研究生学历，教授，博士生导师，1996年于天津大学获得学士学位，2002年于天津大学获得博士学位，现为天津大学精密仪器与光电子工程学院学院教授，主要从事光电成像与检测技术方向的研究。E-mail:xdchen@tju.edu.cn" ]
  [ "吉佳瑞(1994-)，女，河南人，学生，2017年于天津大学获得学士学位，现为天津大学精密仪器与光电子工程学院硕士研究生，主要从事超声内镜图像处理的研究。E-mail: jijiarui@tju.edu.cn" ]
- 基金信息：
  
  十三五支撑计划资助项目(2018YFC0116200);“十三五”支撑计划资助项目(2017YFC0109702)
- DOI：10.3788/OPE.20202801.0174
  中图分类号： TP391.41
- 收稿日期：2019-06-19，
  
  录用日期：2019-8-11，
  
  纸质出版日期：2020-01-15
- 稿件说明：
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陈晓冬, 吉佳瑞, 盛婧, 等. 分数阶微分加权引导滤波对超声图像的纹理保持[J]. 光学精密工程, 2020,28(1):174-181.

Xiao-dong CHEN, Jia-rui JI, Jing SHENG, et al. Fractional differential weighted guided filtering for image texture preservation for medical ultrasound[J]. Optics and precision engineering, 2020, 28(1): 174-181.
陈晓冬, 吉佳瑞, 盛婧, 等. 分数阶微分加权引导滤波对超声图像的纹理保持[J]. 光学精密工程, 2020,28(1):174-181. DOI： 10.3788/OPE.20202801.0174.

Xiao-dong CHEN, Jia-rui JI, Jing SHENG, et al. Fractional differential weighted guided filtering for image texture preservation for medical ultrasound[J]. Optics and precision engineering, 2020, 28(1): 174-181. DOI： 10.3788/OPE.20202801.0174.

摘要

医学超声图像是医生诊断人体组织病变的重要依据，而医学超声图像中固有的散斑噪声易造成纹理信息的破坏，影响医生对组织器官的判断，因此，医学超声图像的去噪处理倍受关注。针对目前医学超声图像去噪算法无法保持图像纹理这一局限性，本文提出分数阶微分加权的引导滤波算法。算法首先通过对数变换，将难以去除的散斑噪声转换为加性噪声；再结合分数阶微分算法，根据像素与边缘纹理的相关性设计纹理因子，并使用该纹理因子改进引导滤波方法；最后，通过改进的引导滤波器生成医学超声图像的处理结果。本文对猪胃和猪气管超声图像进行了算法实验，实验结果表明，本文算法相较于经典引导滤波算法，其结构一致性因子提升20.1%，无参考图像锐化因子提升3.3%，能够在去除散斑噪声的同时有效保留图像边缘纹理结构，对于医学超声图像具有良好的适用性。

Abstract

Medical ultrasound image is an important basis for doctors to diagnose human tissue lesions. The speckle noise inherent in medical ultrasound images is easy to cause the destruction of texture information

which affects the doctor′s judgment on tissues and organs. Therefore

the denoising process of medical ultrasonic images has attracted much attention. In view of the limitation that the current medical ultrasound image denoising algorithm cannot maintain image texture

a fractional differential weighted guided filtering algorithm was proposed. Firstly

the speckle noise was converted into additive noise by logarithmic transformation. Combined with fractional differential algorithm

the texture factor was designed according to the correlation between pixel and edge texture

and the texture factor was used to improve the guided image filtering. Finally

the processing result of the medical ultrasound image was generated by the improved guided image filtering. In this paper

the ultrasound images of pig stomach and pig trachea were tested. Experimental results indicate that compared with the guided image filtering

the proposed method respectively gets 20.1% and 3.3% advancement for Structural Similarity Index Measurement and Cumulative Probability of Blur Detection. It can satisfy the proposed algorithm can effectively preserve the edge texture structure of the image while removing speckle noise.

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references

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