Color Histogram Based Image Retrieval

Image search can be done using content based; colour has been taken as the property for searching. For searching local histogram searching has been used, Euclidean distance formula has been used for comparing the histograms of the images, in this paper query image is divided into two blocks, and each image in the database is also divided into two blocks and histograms are also calculated separately, comparison was made separately and finally by considering all local histograms a sorted order of best suitable images were generated, final search results were displayed from the sorted order. INTRODUCTION In the past decade, many image retrieval systems have been developed, such as the IBM QBIC system developed at the IBM Alma den Research Centre, they have developed the QBIC (Query by Image Content) system to explore content-based retrieval methods. QBIC allows queries on large image and video databases based on