title: Multidistortion-invariant image recognition with radial harmonic Fourier moments.
abstract: 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.
authors.affiliation: Department of Nuclear Medicine, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China.
authors.forename: Haiping
authors.initials: H
authors.lastname: Ren
authors.forename: Ziliang
authors.initials: Z
authors.lastname: Ping
authors.forename: Wurigen
authors.initials: W
authors.lastname: Bo
authors.forename: Wenkai
authors.initials: W
authors.lastname: Wu
authors.forename: Yunlong
authors.initials: Y
authors.lastname: Sheng