On Image Analysis by the Methods of Moments
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image analysis by modified Legendre moments
Pattern Recognition
Aircraft identification by moment invariants
IEEE Transactions on Computers
On the reconstruction aspects of moment descriptors
IEEE Transactions on Information Theory
Image analysis by Tchebichef moments
IEEE Transactions on Image Processing
Image analysis by Krawtchouk moments
IEEE Transactions on Image Processing
Some computational aspects of discrete orthonormal moments
IEEE Transactions on Image Processing
Performance evaluation of moment-based watermarking methods: A review
Journal of Systems and Software
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Few scientific studies have discussed the accuracy of the Krawtchouk moments for the common case of p0.5. In the paper, a novel symmetry and bi-recursive algorithm is proposed to accurately calculate the Krawtchouk moments for the case of p@? (0, 1). The numerical propagation error mechanism of direct recursively calculating the Krawtchouk moments is first analyzed. It reveals that the recursion coefficients and recurrence times of the three-term recurrence relations are the key factors of reducing the propagation error in the computation of the Krawtchouk moment of high order. Based on the analysis, the x-n plane is divided into four parts by x=n and x+n=N-1. We use the n-ascending recurrence formula to calculate the polynomials in the domain of N-1-n=x=n=0 and apply the n-descending recurrence relations in the domain of 0=