Retinal image blood vessel segmentation

The appearance and structure of blood vessels in retinal images play an important role in diagnosis of eye diseases. This paper proposes a method for segmentation of blood vessels in color retinal images. We present a method that uses 2-D Gabor wavelet to enhance the vascular pattern. We locate and...

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Bibliographic Details
Published in2009 International Conference on Information and Communication Technologies pp. 181 - 192
Main Authors Akram, M.U., Tariq, A., Khan, S.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Biomedical imaging
Blood vessels
Diabetes
Diseases
Face detection
Image databases
Image segmentation
Optical filters
Retina
Retinopathy
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ISBN9781424446087
1424446082
DOI10.1109/ICICT.2009.5267194

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Summary:The appearance and structure of blood vessels in retinal images play an important role in diagnosis of eye diseases. This paper proposes a method for segmentation of blood vessels in color retinal images. We present a method that uses 2-D Gabor wavelet to enhance the vascular pattern. We locate and segment the blood vessels using adaptive thresholding. The technique is tested on publicly available DRIVE database of manually labeled images which has been established to facilitate comparative studies on segmentation of blood vessels in retinal images. The proposed method achieves an area under the receiver operating characteristic curve of 0.963 on DRIVE database.
ISBN:9781424446087
1424446082
DOI:10.1109/ICICT.2009.5267194