Automated retinal optic disc detection using pixel based multi fractal analysis

A Review on Structural Analysis of Human Retinal Vessels: Blood Vessels, Optic Nerve, Fovea Centralis and Related Diseases

“…Located region of interest goes under the process of Canny Edge detection leveraged with Gabor operator that extracts blood vessels from the retinal image. Origin of vascular tree was located by pixel based multi fractal analysis, depend upon the fact that it has highest fractal dimension [17]. This gave the accurate location of centre followed by which OD of the retinal image was traced.…”

“…They performed Pixel Based Multi Fractal Analysis to explore the eye structure. Firstly, images of retina were pre-processed by modified method of contrast limit adaptive histogram equalization (CLAHE) [ Figure 6], followed by mean based localization for localization of region of interest (ROI) [ Figure 7] that was further processes to improve the developed algorithm's time complexity and efficiency [17]. Located region of interest goes under the process of Canny Edge detection leveraged with Gabor operator that extracts blood vessels from the retinal image.…”

“…For more precise/ accurate results illumination equalization and histogram equalization was used [3]. Recent work done to localize the optic disc through correlation followed by vessel mask [16] and also by fractal method using eye structure and geometry [17].…”