Use of Color Feature Extraction Technique based on Color Distribution and Relevance Feedback for Content based Image Retrieval

Abstract

In this paper we use the color feature extraction technique that considers the image color distribution. For the color feature extraction process we use the clustering, where fixed number of clusters and variable number of clusters are formed. The proposed technique preserve the image color distribution and reduces the distortion that occurred during the feature extraction process by using binary quaternion moment preserving (BQMP) technique. With this system we devised efficient relevance feedback to improve the efficiency of the content based image retrieval system. Our Experimental results shows there is an improvement in proposed system over the prior binning technique and ACE.