A computer vision framework for detecting dominant points on contour of image-object through thick-edge polygonal approximation

Abstract

This paper presents a computer vision framework for detecting dominant boundary-points on an object’s contour through polygonal approximation of the shape without loss of its significant visual-interpretation. The proposed framework attempts to approximate a polygonal representation of the contour with each polygonal-side having a meaningful thickness to handle noisy curvatures with irregular bumps. The vertices of the polygon are extracted through a novel recursive strategy. The merit of such a scheme depends on how closely it can represent the shape with minimal number of vertices as dominant points without losing its inherent visual characteristics. As per our observation, the proposed framework seems to perform reasonably well in approximating the shape of an object with a small number of dominant points on the contour.