ISSN: 0973-7510
E-ISSN: 2581-690X
Diabetic is one the important cost related problems. And also it gives the numerous eye problems for humans like Diabetic retinopathy. In this work a various methods have been proposed to segment the diabetic retinopathy eye. Segmentation is one of the important modules of any image processing technique. In this work we have proposed the Mean Shift Algorithm (MSA), Random Walker Method (RWM) and Ant colony Algorithm (ACA) and to segment the Human eye. The performance of all the proposed techniques has been verified and validated with each technique using MATLAB. Compare all the techniques; Random Walker Method is a novel technique to segment the Diabetic retinopathy eye image. It shows the better and significant results.
Segmentation, Diabetic Retinopathy, Mean Shift Algorithm, Random Walker Method, Ant Colony Optimization
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