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Blood vessels extraction from retinal images using combined 2D Gabor wavelet transform with local entropy thresholding and alternative sequential filter | IEEE Conference Publication | IEEE Xplore

Blood vessels extraction from retinal images using combined 2D Gabor wavelet transform with local entropy thresholding and alternative sequential filter


Abstract:

Retinal blood vessels extraction is a primary step for detecting eye diseases including diabetic retinopathy which causes blindness. It also simplifies other image proces...Show More

Abstract:

Retinal blood vessels extraction is a primary step for detecting eye diseases including diabetic retinopathy which causes blindness. It also simplifies other image processing techniques such as classification. Since manual extraction is a long task and it requires training, many automated methods have been proposed. In this paper, an algorithm for extracting blood vessels from fundus images has been proposed. The algorithm is based on two dimensional Gabor filter, local entropy thresholding and alternative sequential filter. The proposed method has been tested on fundus images from Structured Analysis of the Retina (STARE) and Digital Retinal Images for Vessel Extraction (DRIVE) databases using MATLAB codes. The results show that this method is perfectly capable of extracting blood vessels.
Date of Conference: 15-18 May 2016
Date Added to IEEE Xplore: 03 November 2016
ISBN Information:
Conference Location: Vancouver, BC, Canada

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