Rotation Invariant Curvelet Features for Region Based Image Retrieval

Author:

Zhang Dengsheng,Islam M. Monirul,Lu Guojun,Sumana Ishrat Jahan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference58 articles.

1. http://www.curvelet.org , accessed on 23rd December (2008).

2. Arivazhagan, S., Ganesan, L., & Kumar, T. G. S. (2006). Texture classification using Curvelet statistical and co-occurrence features. In Proc. of the 18th international conference on pattern recognition (ICPR06), Washington, DC, August 20–24 (Vol. 2, pp. 938–941).

3. Bhagavathy, S., & Chhabra, K. (2007). A wavelet-based image retrieval system (Technical Report—ECE278A). Vision Research Laboratory, University of California, Santa Barbara.

4. Candes, E., Demanet, L., Donoho, D., & Ying, L. (2006). Fast discrete curvelet transforms. Multiscale Modeling and Simulation, 5(3), 861–899.

5. Chaudhuri, B. B., & Sarkar, N. (1995). Texture segmentation using fractal dimension. IEEE Transactions on Pattern Analysis and Machine Intelligence, 17(1), 72–77.

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