An Efficient Boundary-Based Approach for Shape Representation

Content-based image retrieval (CBIR) has become a major area of research and received increasing attention. Shape representation and description is one of the major problems in CBIR. This paper outlines and presents a novel boundary-based approach for shape representation and description, which is capable of extracting reliable information of the object outline. Our technique is translation, scale, and rotation invariant. It works well on many types of shapes and fast enough for use in real-time. This technique produces a concise representation of the image that can be used to search an image database for a similar image