WITHDRAWN: Detection of diabetic retinopathy using partial swarm optimization (PSO) and Gaussian interval type-2 fuzzy membership functions (GIT2FMFS)

Abstract

Abstract Vision loss due to Diabetic Retinopathy (DR) is an important cause of disability in the population since it affects 3.4 percent of the population. To avoid this problem, we have to detect DR as in early stage. In early stage DR is symptomless; screening is the only way to detect and classify these kinds of diseases. Several automated screening techniques are used to detect DR in retina. Still it took more time. So, our proposed work introduces image processing based soft computing approaches. It will improve the performance of accuracy, sensitivity, specificity and precision and detect the DR in easier and faster manner. This paper presents a novel approach for detection of microaneurysms and Hemorrhages in fundus images. Our process includes following steps i) Pre-Processing ii) Blood Vessel Segmentation iii) Blood Vessel Removal iv) Fovea Localization v) Fovea Elimination vi) Feature Extraction vii) Feature Selection and finally viii) Detection of Diabetic Retinopathy disease such as microaneurysms and hemorrhages. Our experimental results based on MATLAB simulation tool and it take databases of DR2 and MESSIDOR. These databases provide efficient and effective results in classification method.