In this paper we address image retrieval by similarity in multimedia databases. We discuss the generation and use of signatures computed from image content. The proposed technique is not based on image annotation, therefore it does not require human assistance. es abstract the directionality of image objects. They are computed from the image Fourier transform, and the influence of computation parameters on signature effectiveness is discussed. Retrieval is based on spectrum comparison between a reference image, assumed as the query, and the images in a collection. We introduce a metric for comparing the spectra and ranking the result, and approach the issue of partial query specification. Sample results on a small test collection are given.