Segmentation of retinal blood vessels in colour fundus images using ANFIS classifier

Diabetic Retinopathy is an irreversible retinal disorder in the diabetic patients where the blood vessels are injured due to the hyper pressure or flow of the blood through the vessels in retina. The blood vessels originate from the centre of the optic disc and spreads over the entire region of retina. Vision loss in diabetic patients can be prevented at an earlier stage if blood vessels are screened initially. Hence, detection of retinal blood vessels is significant for DR detection. In this paper, the computer-aided automatic detection and segmentation of retinal blood vessel is proposed by extracting the features based on orientation analysis of gradient vector field, morphological and gray level and Gabor features and are then classified using ANFIS classifier. The results show that the proposed method achieves sensitivity of 92.66%, 81.23% specificity of 98.53%, 98.70% and accuracy of 98.45%, 95.20% on DRIVE and STARE dataset.