Title

Artificial Intelligence – II: Retinal image blood vessel segmentation

Abstract/Description

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.

Session Theme

Artificial Intelligence – II

Session Type

Other

Session Chair

Dr. Sharifullah Khan

Start Date

16-8-2009 12:00 PM

End Date

16-8-2009 12:20 PM

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Aug 16th, 12:00 PM Aug 16th, 12:20 PM

Artificial Intelligence – II: 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 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.