Region based localized matching image retrieval system using color-size features for image retrieval

Abstract

It has been studied that CBIR has attracted many researchers and most of the previous CBIR systems have shown searching procedure of digital image on the basic features such as texture, color, size and shape of a certain query image in large database. According to this research, we are going to present region-based image repossession system that is going to exhibit model that would help to specify multiple region of interest inside query image. In this research we have presented a novel visual feature, that might contain color-size of the region query and its moments, however to combine color and region-size information of the watershed region. Moreover, a technique has been modeled for region filtering, that might depend upon color size of the given query image, that would stimulate the process of screening out of the most non related region and images for pre-processing of the recovery of image. Therefore, the technique presented would help to shorten the consequence of image background on image matching decision; however, an object's color would receive much more focus. Apart from that, amendment to region based similarity measurement has also been presented. It has been proved with the help of simulation results, that the given descriptor with the similarity measure amendments outperforms the existing descriptor that would be considered in content based image retrieval applications. Moreover, the given approach has performed better than the previous approaches.