Efficient computation of radial moment functions using symmetrical property
Pattern Recognition
Recursive computation of Tchebichef moment and its inverse transform
Pattern Recognition
Image analysis by modified Legendre moments
Pattern Recognition
On the computational aspects of Zernike moments
Image and Vision Computing
A symmetry and bi-recursive algorithm of accurately computing Krawtchouk moments
Pattern Recognition Letters
Algorithms for fast computation of Zernike moments and their numerical stability
Image and Vision Computing
Fast computation of exact Zernike moments using cascaded digital filters
Information Sciences: an International Journal
Accurate calculation of Zernike moments
Information Sciences: an International Journal
| Hi-index | 754.84 |
The problem of reconstruction of an image from discrete and noisy data by the method of moments is examined. The set of orthogonal moments based on Legendre polynomials is employed. A general class of signal-dependent noise models is taken into account. An asymptotic expansion for the global reconstruction error is established. This reveals mutual relationships between a number of moments, the image smoothness, sampling rate, and noise model characteristics. The problem of an automatic (data-driven) section of an optimal number of moments is studied. This is accomplished with the help of cross-validation techniques