Analysis of Retinal Image for Blood Vessel Using Swarm Intelligence and Transform Function

Image processing plays a vital role in diagnosing medical diseases for the prediction of critical problems such as diabetes, the vascular problem of heart, and heart attack. For the prediction of severe, such a problem used automatic blood vessel segmentation. For automatic blood segmentation, various algorithms and techniques are used. But some sensitivity and accuracy are a significant issue in blood vessel segmentation. In this paper proposed blood vessel segmentation using Gabor transform function, FCM algorithm, and ant colony optimization. Our designed algorithm is very efficient in terms of the accuracy and sensitivity of the retinal image. The utility of the blood vessel segmentation process demands the improvement of the segmentation area and increase the value of efficiency-the development of the image-segmentation method used threshold method with some objective function optimization method. The accurate function optimization method increases the segmentation area and increases the value of sensitivity.