title: Image description with generalized pseudo-Zernike moments.
abstract: A new set, to our knowledge, of orthogonal moment functions for describing images is proposed. It is based on the generalized pseudo-Zernike polynomials that are orthogonal on the unit circle. The generalized pseudo-Zernike polynomials are scaled to ensure numerical stability, and some properties are discussed. The performance of the proposed moments is analyzed in terms of image reconstruction capability and invariant character recognition accuracy. Experimental results demonstrate the superiority of generalized pseudo-Zernike moments compared with pseudo-Zernike and Chebyshev-Fourier moments in both noise-free and noisy conditions.
authors.affiliation: Department of Computer Science and Engineering, Southeast University, Nanjing, China.
authors.forename: Ting
authors.initials: T
authors.lastname: Xia
authors.forename: Hongqing
authors.initials: H
authors.lastname: Zhu
authors.forename: Huazhong
authors.initials: H
authors.lastname: Shu
authors.forename: Pascal
authors.initials: P
authors.lastname: Haigron
authors.forename: Limin
authors.initials: L
authors.lastname: Luo