We propose radial harmonic Fourier moments, which are shifting, scaling, rotation, and intensity invariant. Compared with Chebyshev–Fourier moments, the new moments have superior performance near the origin and better ability to describe small images in terms of image-reconstruction errors and noise sensitivity. A multidistortion-invariant pattern-recognition experiment was performed with radial harmonic Fourier moments.
© 2003 Optical Society of America
(070.0070) Fourier optics and signal processing : Fourier optics and signal processing
(100.0100) Image processing : Image processing
(110.0110) Imaging systems : Imaging systems
(150.0150) Machine vision : Machine vision
(200.0200) Optics in computing : Optics in computing
Haiping Ren, Ziliang Ping, Wurigen Bo, Wenkai Wu, and Yunlong Sheng, "Multidistortion-invariant image recognition with radial harmonic Fourier moments," J. Opt. Soc. Am. A 20, 631-637 (2003)