Comprehensive Study on Shape Representation Methods for Shape-Based Object Recognition

Abstract

AbstractThis study presents a thorough analysis of shape representation techniques. Furthermore, a taxonomy of strategies for form representation and description is provided. This study aims to review the current achievements comprehensively, highlight the weaknesses and advantages of various existing methods in shape representation methods, addressing current research issues and challenging tasks in this research scope. The contributions of this study lie in providing a comprehensive analysis of shape representation techniques, along with a taxonomy of strategies for form representation and description. The research explores the application of shape border information and inner content in various domains, such as form retrieval, shape classification, and medical image analysis. The novelties include the systematic categorization of methods, addressing current research issues, and offering insights into the benefits and drawbacks of existing shape representation approaches, thus paving the way for potential advancements in the field. In the end, the performance of existing methods is discussed to address the drawbacks and effectiveness of current methods.