Invariant content-based image retrieval using a complete set of Fourier-Mellin descriptors

Abstract

Image retrieval from a large database is an important and emerging search area. This retrieval requires the choice of a suitable set of image features, a method to extract them correctly, and a measure of the similarity between features that can be computed in real time. The paper presents a complete set of Fourier-Mellin descriptors for object storage and retrieval. Our approach is translation, rotation and scale invariant. Several retrieval examples in a large image database are presented.