Enhanced morphological and Soft morphological shape Decomposition techniques for 2d shape representation

Abstract

Shape Representation is the basis for shape related processing and newlineanalysis such as shape matching and recognition tasks The two major shape newlinerepresentation techniques are boundary based and region based techniques newlineThe first one analyzes shapes with the help of boundaries In contrast region newlinebased techniques represent the shapes based on the objects geometrical newlinestructure In this thesis a task of decomposing a shape image is taken and newlinetechniques to decompose the given shape effectively are proposed The prime newlineaim of this thesis is to develop techniques to represent objects in images The newlinemost important issues of shape decomposition are considered to be the newlinesimplification of algorithm minimizing redundancy in representation and newlinereduction in time Mathematical morphology is an approach to image analysis that is newlineshape oriented newline newline