Optimized trace transform based content based image retrieval algorithm

The last decade has seen a rapid increase in the use of visual information leading to storage and accessibility problems. To improve human access, there must be effective and precise retrieval algorithm for the user to search, browse and interact with these collections in real time. In this paper we propose a trace transform based content based image retrieval algorithm (TTB-CBIR). The proposed algorithm applies trace transform which is robust to affine transform for feature extraction. Similarity measure is done using hamming distance. The TTB-CBIR algorithm is tested on corel database of images. The proposed algorithm shows optimum performance in terms of memory utilization and retrieval time.