Open AccessImage description by harmonic Fourier moment
Author(s) -
Haitao Hu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1486/7/072037
Subject(s) - trigonometric functions , zernike polynomials , sine , mathematics , fourier transform , harmonic , velocity moments , moment (physics) , mathematical analysis , image (mathematics) , trigonometry , algorithm , computer vision , computer science , geometry , physics , optics , acoustics , classical mechanics , wavefront
In this paper, Two kinks of orthogonal moments are constructed with Trigonometric functions, named Harmonic-Fourier moments (HFMs), which include Cosine-Fourier moments (CFMs) and Sine-Fourier moments (SFMs). These kinds of moments can be used in image and object analysis. The radial functions of HFMs have more zeros than Zernike polynomials of the same degree so that the property makes HFMs have stronger ability in image description. Furthermore, the formulas of HFMs are extremely simple. This property makes it possible that HFMs can be computed at a higher speed.