Interactive Image Retrieval using Genetic Algorithm and Orthogonal Moments

Image Retrieval is a field of study concerned with searching and retrieving images from a collection of database. The user participation in image retrieval system gains attention in the recent research in order to reduce the impact of completely depending on discrimination power of image features. In this proposed work, interactive genetic algorithm is employed where user selects one of the retrieved images for the next stage of mutation. Moreover, dual Hahn moments employed in this work, which are orthogonal and rotation invariants are effective image descriptors. Experiments were carried out on COREL images and the average retrieval rate of 88% reveals the efficacy of the proposed work.