Content-based object retrieval using maximum curvature points in contour images
Azhar Quddus, Faouzi Alaya Cheikh, Moncef Gabbouj · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
In this paper we present a technique for shape similarity estimation for content-based indexing and retrieval over large image databases. Here the high curvature points are detected using wavelet decomposition. The feature set is extracted under the framework of polygonal approximation. It uses simple features extracted at high curvature points. The experimental result and comparisons show the performance of the proposed technique. This technique is also suitable to be extended to the retrieval of 3D objects.