Clustering Approach to Content Based Image Retrieval

Abstract

This paper presents an efficient spatial indexing technique based on Silhouette moments that makes the index robust subject to the three basic transformations for CBIR. Spatial index is generated based upon a fast and robust clustering technique, which can recognize color clusters of any shape. The new clustering technique has been found to be efficient in terms of time complexity and cluster quality than many of its counterparts. A matching engine has been devised to retrieve images from the image database, which has the capacity for global and regional similarity search