Segmentation of Retinal Blood Vessels Based on Transition Region Extraction

YAO Chang; CHEN Hou-jin; LI Ju-peng

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Segmentation of Retinal Blood Vessels Based on Transition Region Extraction

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- Segmentation of Retinal Blood Vessels Based on Transition Region Extraction
- Acta Electronica Sinica Vol. 36, Issue 5, Pages: 974-978(2008)
- 作者机构：
  
  北京交通大学电子信息工程学院,北京,100044
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Published：2008
- 稿件说明：
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YAO Chang, CHEN Hou-jin, LI Ju-peng. Segmentation of Retinal Blood Vessels Based on Transition Region Extraction[J]. Acta Electronica Sinica, 2008, 36(5): 974-978.
DOI：

YAO Chang, CHEN Hou-jin, LI Ju-peng. Segmentation of Retinal Blood Vessels Based on Transition Region Extraction[J]. Acta Electronica Sinica, 2008, 36(5): 974-978. DOI：

摘要

针对现有视网膜血管分割方法对于小血管和低对比度血管分割效果差的问题

提出了一种基于过渡区提取的视网膜血管分割方法.该方法首先采用二维高斯匹配滤波预处理以增强血管

然后采用基于最佳熵的方法提取主血管、采用基于分布式遗传算法和Otsu相结合的方法提取过渡区

最后利用区域连通性分析所提取的主血管和过渡区

分割出最终的血管.通过在Hoover眼底图像库中的实验

结果表明该方法在小血管的提取、连通性和有效性方面均优于Hoover算法

另外由于迁移策略的分布式遗传算法的引入

使得算法效率也明显提高.

Abstract

Aiming at the bad performance of existing retinal blood vessel segmentation methods for small and low contrast vessels

a new segmentation method based on transition region extraction is proposed.Firstly

the two-dimensional Gaussian matched filter is used to enhance the retinal image.Then the main vessels are segmented through optimal entropy method and the transition region is extracted by algorithm based on distributed genetic algorithm and Otsu.Finally

the vessels are obtained via analyzing the region connectivity.The experiments implemented on the Hoover database indicate that the proposed method outperforms the Hoover algorithm on the small vessels extraction

connectivity and effectiveness.In addition

the efficiency of this method could be improved by introducing the distributed genetic algorithm based on migration strategy.

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Transition Region Extraction and Segmentation Based on Image Fuzzy Entropy Neighborhood Unhomogeneity

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Related Author

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YAO Chang

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WANG Yan-chun

LIANG De-qun

WANG Yan

ZHOU Shou-jun

Related Institution

School of Information Science and Technology, Dalian Maritime University

Department of Opto-Electronic Engineering,Beijing Institute of Technology

School of Biomedical Engineering, Southern Medical University

Department of Opto-Electronic EngineeringBeijing Institute of TechnologyBeijing 100081China

School of Biomedical EngineeringSouthern Medical UniversityGuangzhouGuangdong 510515China

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