Gabor transform applied to segmentation and skeletonization of digital images

Abstract

This paper implements a digital algorithm that allows the segmentation and skeletonization of digital images, this method is particularly important in the processing of retinographies where fundus analysis enables early detection of diseases such as diabetic retinopathy. The algorithm implemented using the Fourier transforms of two-dimensional Gabor and with the aid of conventional filters. The performance of the algorithm implemented under the Matlab mathematical platform has been compared with conventional methods resulting in obtaining filtered images with better contrast and higher resolution.