Image analysis by orthogonal Fourier-Mellin moments
Xiaoyu Wang, Simon Liao · Applied Computer Science · 2013
In this research, an attempt to analyze images with the orthogonal Fourier-Mellin moments is conducted. It leads to the conclusions that the lower order of orthogonal Fourier-Mellin moments primarily contain the fundamental image information; the higher order moments preserve more detailed image information; and each finite set of the moments will contribute individually in the reconstruction process. We have also discovered that, for the orthogonal Fourier-Mellin moments, the radial order n and harmonic order m tend to contain more information on harmonic patterns and radial patterns, respectively.