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Vessel Extraction on Ocular Fundus Images by Using Gabor Filter Bank

Vessel Extraction on Ocular Fundus Images by Using Gabor Filter Bank
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摘要 Fundus diagnosis is an important part of the whole body examination that may provide rich clinical information to doctors for diagnostic reference. Manual fundus vessel extraction is helpful to quantitative measurement of diseases but obviously it is a tough work for physicians. This paper presents an automatic method by using Gabor filter bank to extract the artery and vein separately in the ocular fundus images. After preprocessing steps that include gray-scale transform, gray value inversion and contrast enhancement, the Gabor filter bank is applied to the extraction of the artery and vein in the ocular fundus images. Finally these two different width types of vessels are selected by post-processing methods such as labeling, corrosion, binarization, etc. Evaluation results show an accurate rate of 90% in vein and 82% in artery from 20 cases, that indicates the effectiveness of our proposed segmentation method. Fundus diagnosis is an important part of the whole body examination that may provide rich clinical information to doctors for diagnostic reference. Manual fundus vessel extraction is helpful to quantitative measurement of diseases but obviously it is a tough work for physicians. This paper presents an automatic method by using Gabor filter bank to extract the artery and vein separately in the ocular fundus images. After preprocessing steps that include gray-scale transform, gray value inversion and contrast enhancement, the Gabor filter bank is applied to the extraction of the artery and vein in the ocular fundus images. Finally these two different width types of vessels are selected by post-processing methods such as labeling, corrosion, binarization, etc. Evaluation results show an accurate rate of 90% in vein and 82% in artery from 20 cases, that indicates the effectiveness of our proposed segmentation method.
出处 《Computer Aided Drafting,Design and Manufacturing》 2015年第1期28-36,共9页 计算机辅助绘图设计与制造(英文版)
基金 Supported by National Natural Science Foundation of China(Nos.61262027,45627390) Research Foundation Project of the Guangxi Ministry of Education(No.200810MS048)
关键词 Gabor filter bank vessel extraction ocular fundus SEGMENTATION Gabor filter bank vessel extraction ocular fundus segmentation
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