Abstract
Moments are important characteristics of digital signals and images and are commonly used for their description and classification. When calculating the moments and their derived functions numerically, we face, among other numerical problems studied in the literature, certain instabilities which are connected with the properties of Pascal triangle. The Pascal triangle appears in moment computation in various forms whenever we have to deal with binomial powers. In this paper, we investigate the reasons for these instabilities in three particular cases - central moments, complex moments, and moment blur invariants. While in the first two cases this phenomenon is tolerable, in the third one it causes serious numerical problems. We analyze these problems and show that they can be partially overcome by choosing an appropriate polynomial basis.
Original language | English |
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Pages (from-to) | 53-68 |
Number of pages | 16 |
Journal | JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS |
Volume | 306 |
DOIs | |
Publication status | Published - 1 Nov 2016 |
Keywords
- Moment invariants
- Moments
- Orthogonal moments
- Pascal triangle
- Polynomials
- Stable calculations