International Journal of Computer Vision
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
An efficient nearest-neighbour search while varying Euclidean metrics
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
The Trace Transform and Its Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color-based image retrieval using binary signatures
Proceedings of the 2002 ACM symposium on Applied computing
Efficient Nearest-Neighbour Searches Using Weighted Euclidean Metric
BNCOD 16 Proceedings of the 16th British National Conferenc on Databases: Advances in Databases
IEEE Transactions on Circuits and Systems for Video Technology
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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.