AN APPROACH FOR CBIR SYSTEM THROUGH MULTI LAYER NEURAL NETWORK

In these days an image retrieval system has become a challenging task. Many systems based on the text based retrieval but the need of image based retrieval system that takes an image as the input query and retrieves images based on image content is more complicated task. Content Based Image Retrieval is an approach for retrieving semantically-relevant images from an image database based on automatically-derived image features. The exclusive aspect of the system is the utilization of hierarchical and multilayer network which includes RBFN . The proposed procedure consists of two stages. First, here we are going to filter most of the images in the hierarchical clustering and then apply the clustered images to RBFN network, so that we can get better favored image results.