A NEW METHOD OF REPRESENTING AND MATCHING TWO DIMENSIONAL SHAPES

Abstract

In this paper, we present a method of representing two-dimensional shapes by symbolic features. A shape is represented in terms of multi-interval valued type features. Fuzzy equilateral triangle membership values are used as features to describe a shape. A similarity measure defined over symbolic features useful for matching and retrieval of shapes is also presented. The proposed method of shape representation and matching is shown to be invariant to image transformations (translation, rotation, reflection and scaling) and robust to minor deformations and occlusions. Several experiments have been conducted to demonstrate the feasibility of the methodology and also to highlight its advantages over existing methodologies.