基于多尺度2D Gabor小波的视网膜血管自动分割

王晓红; 赵于前; 廖苗; 邹北骥

doi:10.16383/j.aas.2015.c140185

基于多尺度2D Gabor小波的视网膜血管自动分割

doi: 10.16383/j.aas.2015.c140185

王晓红¹,
赵于前^1,2, ,,
廖苗¹,
邹北骥²

1.
中南大学生物医学工程研究所长沙 410083;
2.
中南大学信息科学与工程学院长沙 410083

基金项目:

国家自然科学基金(61172184, 61379107, 61174210, 61402539), 教育部新世纪优秀人才支持计划(NCET-13-0603), 高等学校博士学科点专项科研基金(20130162110016), 湖南省科技基本建设基金(201311 99)资助

详细信息

作者简介:
王晓红中南大学生物医学工程研究所硕士研究生, 香港理工大学研究助理. 主要研究方向为图像处理, 计算机视觉与模式识别.E-mail: wangxiaohong.314@163.com

通讯作者:
赵于前博士, 中南大学生物医学与信息工程系教授, 中南大学信息科学与工程学院教授. 主要研究方向为图像处理,模式识别, 图像取证, 基于图像的工业检测. E-mail: zyq@csu.edu.cn

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出版历程
- 收稿日期: 2014-03-20
- 修回日期: 2014-12-03
- 刊出日期: 2015-05-20

Automatic Segmentation for Retinal Vessel Based on Multi-scale 2D Gabor Wavelet

1.
Institute of Biomedical Engineering, Central South University, Changsha 410083;
2.
School of Information Science and Engineering, Central South University, Changsha 410083

Funds:

Supported by National Natural Science Foundation of China (61172184, 61379107, 61174210, 61402539), Program for New Century Excellent Talents in University of Education Ministry in China (NCET-13-0603), Specialized Research Fund for the Doctoral Program of Higher Education (20130162110016), and Program for Hunan Province Science and Technology Basic Construction (20131199)

摘要

摘要: 眼底视网膜血管分割对临床视网膜疾病诊断具有重要意义. 由于视网膜血管结构微小, 血管轮廓边界模糊, 加上图像采集时噪声的影响, 视网膜血管分割非常困难. 本文提出一种视网膜血管自动分割新方法. 首先, 应用对比度受限的自适应直方图均衡法增强视网膜图像;然后, 采用不同尺度的2D Gabor小波对视网膜图像进行变换, 并分别应用形态学重构 (Morphological reconstruction, MR)和区域生长法 (Region growing, RG)对变换后的图像进行分割; 最后, 对以上两种方法分割的视网膜血管和背景像素点重新标记识别, 得到视网膜血管最终分割结果. 通过对DRIVE和STARE数据库视网膜图像的分割实验, 证明了该算法的有效性.
- 视网膜血管分割 /
- 2D Gabor小波 /
- 形态学重构 /
- 区域生长
Abstract: Segmentation of retinal vessels plays an important role in the diagnostic procedure of retinopathy. Due to the fact that the retinal vessels usually have some tiny structures and blurred boundaries, especially with remarkable noises resulted from retinal image acquisition, it is difficult to segment vessels from retinal images. In this paper, a new automatic segmentation method for retinal vessels is proposed. Firstly, the retinal vessel image is enhanced by the contrast-limited adaptive histogram equalization, and followed by multi-scale 2D Gabor wavelet transformation. Then, the use morphological reconstruction (MR) and region growing (RG) are used respectively to extract retinal vessels. Finally, both the segmented results are combined to achieve the final segmentation by reclassifying the vessel and background pixels. Experiments are conducted on the publicly available DRIVE and STARE databases, which show the effectiveness of the proposed method on retinal vessel segmentation.
- Retinal vessel segmentation /
- 2D Gabor wavelet /
- morphological reconstruction (MR) /
- region growing (RG)

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参考文献(24)

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基于多尺度2D Gabor小波的视网膜血管自动分割

doi: 10.16383/j.aas.2015.c140185

作者简介:
王晓红中南大学生物医学工程研究所硕士研究生, 香港理工大学研究助理. 主要研究方向为图像处理, 计算机视觉与模式识别.E-mail: wangxiaohong.314@163.com

通讯作者:
赵于前博士, 中南大学生物医学与信息工程系教授, 中南大学信息科学与工程学院教授. 主要研究方向为图像处理,模式识别, 图像取证, 基于图像的工业检测. E-mail: zyq@csu.edu.cn

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Automatic Segmentation for Retinal Vessel Based on Multi-scale 2D Gabor Wavelet

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留言板

基于多尺度2D Gabor小波的视网膜血管自动分割

doi: 10.16383/j.aas.2015.c140185

作者简介: 王晓红 中南大学生物医学工程研究所硕士研究生, 香港理工大学研究助理. 主要研究方向为图像处理, 计算机视觉与模式识别.E-mail: wangxiaohong.314@163.com

通讯作者: 赵于前 博士, 中南大学生物医学与信息工程系教授, 中南大学信息科学与工程学院教授. 主要研究方向为图像处理,模式识别, 图像取证, 基于图像的工业检测. E-mail: zyq@csu.edu.cn

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出版历程

Automatic Segmentation for Retinal Vessel Based on Multi-scale 2D Gabor Wavelet

计量

出版历程

目录

作者简介:
王晓红中南大学生物医学工程研究所硕士研究生, 香港理工大学研究助理. 主要研究方向为图像处理, 计算机视觉与模式识别.E-mail: wangxiaohong.314@163.com

通讯作者:
赵于前博士, 中南大学生物医学与信息工程系教授, 中南大学信息科学与工程学院教授. 主要研究方向为图像处理,模式识别, 图像取证, 基于图像的工业检测. E-mail: zyq@csu.edu.cn