Fast algorithm for the computation of moment invariants
Pattern Recognition
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simple and fast computation of moments
Pattern Recognition
Fast computation of moment invariants
Pattern Recognition
Fast algorithm for 2-D image moments via the Radon transform
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 03
Fast Zernike wavelet moments for Farsi character recognition
Image and Vision Computing
Iris verification using wavelet moments and neural network
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
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Wavelet moments are perfect representations of moments in multiresolution wavelet domain, which integrates the theory of moment invariants into wavelet analysis. However, the calculations of moments are very complicated in terms of computational complexity, so it is difficult to implement them in real time. An exact and fast projection-based algorithm for two-dimensional wavelet moments is presented in this paper. In our approach, the computation of a two-dimensional wavelet moment of order of r is performed in (r+1) different one-dimensional spaces. Since only additions are required to perform the projection transform, the total computational complexity can be greatly reduced.