Localized Rgb Color Histogram Feature Descriptor for Image Retrieval

This paper proposes a new feature descriptor, localized color descriptor for content based image retrieval (CBIR). The proposed method collects the local histograms from red (R), green (G) and blue (B) color spaces. These local histograms are collected by dividing the images into subblocks (regions). The performance of the proposed method is tested by conducting experiments on Corel-1000, natural benchmark database. The performance of the proposed method is evaluated in terms of precision, recall, average retrieval precision (ARP) and average retrieval rate (ARR) as compared to the global RGB histograms, global HSV histograms and other existing features for image retrieval. The performance of the proposed method also tests with different distance measures. The results after being investigated the proposed method shows a significant improvement as compared to the other existing methods in terms of precision, recall, ARP and ARR on Corel-1000 database.