ANALYSIS OF CONTENT BASED IMAGE RETRIEVAL USING HIERARCHICAL AND K-MEANS CLUSTERING APPROACH

Abstract

Content based image retrieval (CBIR) is becoming a source of exact and fast retrieval. In recent years, a variety of techniques have been developed to improve the performance of CBIR. The proposed CBIR technique uses more than one clustering techniques to improve theperformance of CBIR.This optimized method makes use of K-means and Hierarchical clustering technique to improve the execution time and performance of image retrieval systems in high dimensional sets. In this paper the clustering techniques are discussed and analyzed. We propose a method HDK that uses more than one clustering technique to improve the performance of CBIR.