GRAVITATIONAL SEARCH ALGORITHM BASED RNFL SEGMENTATION FOR EARLY STAGE ALZHEIMERÂS DETECTION

Alzheimer’s disease (AD) is a harmful form of dementia occurred in elderly people. AD is a neuro degenerative brain disease. There are no pills and drugs exist for AD. Therefore, early diagnosis can delay progression of AD. Image segmentation used to analyze and visualize the image more precisely. It plays a vital in medical image analysis. Segmented Retinal Nerve Fiber Layer (RNFL) edges give structural framework for visualization. Segmented RNFL poses large information which is useful in AD diagnosis early. Segmentation refers to the labeling of pixels into different regions. In this work introduced a new system to automatically detect the RNFL using retinal images. Initially, the images pre-processed using Bilateral filter, then detected the edge of the RNFL, after that they identified and characterize the true retinal boundaries based on the Gravitational Search (GSA) algorithms. They segmented the interior and exterior boundaries with the Gravitational Search of retinal structure. They automatically segment the retinal images without the intervention of human and accurately detecting the RNFL edges.