Journals Proceedings

Abstract

This paper describes and compares content-based global and local feature image retrieval techniques, which can be applied to estimate similarity between color images. The database of 52 color images with manually specified model similarity of each pair was prepared. The comparison of the analyzed methods was based on examining model and calculated similarities, which should be alike. Presenting experimental results using an image database which contains more than 52 color images. This experiment demonstrate clearly that the proposed weak encoding of spatial information significantly increases the discrimination power of the index compared to plain color indexing technique