Image analysis by modified Legendre moments
Pattern Recognition
Translation and scale invariants of Tchebichef moments
Pattern Recognition
Image analysis by discrete orthogonal dual Hahn moments
Pattern Recognition Letters
Discrete orthogonal moments in image analysis
SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications
Algorithm for stereovision disparity calculation in the moment space
Machine Graphics & Vision International Journal
Computers in Biology and Medicine
A local Tchebichef moments-based robust image watermarking
Signal Processing
Image Analysis by Modified Krawtchouk Moments
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Discrete orthogonal moments in image analysis
SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications
A symmetry and bi-recursive algorithm of accurately computing Krawtchouk moments
Pattern Recognition Letters
Image quality assessment by discrete orthogonal moments
Pattern Recognition
Using tchebichef moment for fast and efficient image compression
Pattern Recognition and Image Analysis
Fast computation of tchebichef moments for binary and grayscale images
IEEE Transactions on Image Processing
Image analysis by Gaussian-Hermite moments
Signal Processing
A fast zigzag-pruned 4×4 DTT algorithm for image compression
WSEAS Transactions on Signal Processing
Image recognition by affine Tchebichef moment invariants
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Content-based image quality metric using similarity measure of moment vectors
Pattern Recognition
The fast recursive computation of Tchebichef moment and its inverse transform based on Z-transform
Digital Signal Processing
Image analysis by moment invariants using a set of step-like basis functions
Pattern Recognition Letters
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Discrete orthogonal moments have several computational advantages over continuous moments. However, when the moment order becomes large, discrete orthogonal moments (such as the Tchebichef moments) tend to exhibit numerical instabilities. This paper introduces the orthonormal version of Tchebichef moments, and analyzes some of their computational aspects. The recursive procedure used for polynomial evaluation can be suitably modified to reduce the accumulation of numerical errors. The proposed set of moments can be used for representing image shape features and for reconstructing an image from its moments with a high degree of accuracy.