Performance Evaluation of Object Recognition Using Skeletal Shock Graph: Challenges and Future Prospects
This paper describes a graphical method of Skeletal Shock Graph, which is based on the shape or geometry of the object. Shock Graph is an abstraction of the skeleton of a shape onto a Directed Acyclic Graph (DAG) in which the skeleton points are labeled according to the local variation of the radius function at each point. A large image data base is created by using suitable image acquisition technique, which is converted into binary images. Skeleton and its labeling of the binary image is obtained by applying Skeletonization Algorithm.