Shape analysis of decisive objects from an image using mathematical morphology

Abstract

An image is comprised of focused and non-focused objects and focused objects are treated as decisive objects. Primary task of image registration process is the associated shape analysis of the images under consideration. Shape analysis of the image is the identification of outer and inner border line characteristic of the decisive objects along with other characteristic features of the images. In this work we have proposed a scheme to analyze the outer shape of a decisive object in terms of optimum number of external boundary points. The external boundary points are identified using cross sectional views of the contour and skeleton of the objects under consideration. Further, the extreme points are labeled according to their angular representation for identification of the outer shape of the decisive objects of the image. Here, we have used the principle of Mathematical Morphology for contour as well as skeleton identifications.