Efficient computation of Zernike and Pseudo-Zernike moments for pattern classification applications
Author:
Publisher
Pleiades Publishing Ltd
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition
Link
http://link.springer.com/content/pdf/10.1134/S1054661810010050.pdf
Reference27 articles.
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2. K. Tsirikolias and B. G. Mertizos, “Statistical Pattern Recognition Using Efficient 2-D Moments with Applications to Character Recognition,” Pattern Recognition 26, No. 6, 877–882 (1993).
3. B. G. Mertzios and K. Tsirikolias, “Statistical Shape Discrimination and Clustering Using an Efficient Set of Moments,” Pattern Recognition Lett. 14, 517–522 (June 1993).
4. B. G. Mertzios, “Shape Discrimination in Robotic Vision Using Scaled Normalized Central Moments,” in Proc. IFAC Workshop on Mutual Impact of Computing Power and Control Theory (Prague, Sept. 1–2 1992), pp. 281–287.
5. A. Khotanzad and J.-H. Lu, “Classification of Invariant Image Representations Using a Neural Network,” IEEE Trans. on Acoustics, Speech and Sign. Processing ASSP-38, No. 6, 1028–1038 (1990).
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