Automatic Diabetic Retinopathy Detection Using Gabor Filter with Local Entropy Thresholding

Diabetic retinopathy (DR) is a complication of diabetes and a leading cause of vision loss. DR detection, poor quality retinal image makes more difficult the analysis for ophthalmologist. Automatic segmentation of blood vessels in retina is helpful for ophthalmologists to screen larger populations. This literature presents a new automatic analysis to extract blood vessels with high accuracy. In this algorithm comprised of Gabor filter with local entropy thresholding for vessels extraction under various normal or abnormal conditions. The frequency and orientation of Gabor filter are tuned to match that of a part of blood vessels to be enhanced in a green channel image. Extraction of blood vessels pixels are classified by local entropy thresholding technique in this method. The performance of the proposed algorithm is analysed by MATLAB software with DRIVE database.