Shape-based image retrieval using invariant features

Abstract

In this paper we propose an accurate shape-based image retrieval method which uses both types of moment invariants and Fourier descriptors. The method first excludes irrelevant images of different appearances using the region-based moment invariant features and then, using Fourier descriptors, the method increases the retrieval effectiveness substantially. The retrieval method was tested on our shape databases and the search accuracy was compared with those of Fourier descriptors and moment invariants. The hybrid method of using both boundary-based Fourier descriptor and region-based moment invariants provides much better performance than other similarity method.