Selection texture regions on the image based on classification assessment density of contour elements

Abstract

A method for texture images segmentation based on selection texture regions on the image based on classification assessment density of contour elements. The goal of the method find the contouring of the image, determin- ing the position of contour elements in the image and classify it for different types(points, lines, and shapes) close the region which had same type of contour type into binary regions objects. The result will be representing in binary matrix.