Spatial Color Indexing Using Data Clustering Technique

This paper presents an efficient spatial indexing technique for content-based image retrieval. Spatial index is generated based upon a fast and robust clustering technique, which can recognize color clusters of any shape. It also exploits entropy measure to decide whether quantization is needed before clustering. Based on experimentation, the performance of the new indexing technique has been found to be better than many of its counterparts providing for robust and compact index, better analysis of the color content of the image, higher precision and recall in retrieval and better retrieval time.