A wavelet based image retrieval

Abstract

An wavelet based image retrieval scheme is described. Wavelet transforms are applied to compress the image space, thereby reducing noise. A combination of texture, shape, topology and fuzzy geometric features, that is invariant to orientation, scale and object deformation, are extracted from this compressed image. The use of wavelet based compression eliminates the need for any other preprocessing. The extracted features serve as the signature of the compressed images, in terms of their content. Their use in content based image retrieval is demonstrated. © Springer-Verlag Berlin Heidelberg 2005.