An Algorithm for Computation of Radial-Harmonic-Fourier Moments

Article Preview

Abstract:

A fast algorithm for the computation of radial- harmonic-fourier moments (RHFM) is presented in this paper. This algorithm is based on some properties of the radial- harmonic-fourier (RHF) basis functions. As RHF basis functions have specific symmetry or anti-symmetry about the x-axis, the y-axis, the origin, and the straight line of y=x, we can compute one eighth range of the RHF basis functions instead of the whole. Both theoretical analysis and experimental testing show that the fast algorithm makes the time of the computation shorter than the direct method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

284-288

Citation:

Online since:

October 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] M. K. Hu: Visual Pattern recognition by moment invariants, IRE Trands. Inf. Theory IT-8 (1962) 179-187.

Google Scholar

[2] M.R. Teague: J. Opt. Soc. Am. Vol. 70 (1980), pp.920-930.

Google Scholar

[3] S. O. Belkasim: Patter Recognition Vol. 24 (1991) No. 12, pp.1117-1138.

Google Scholar

[4] A. Khotanzad, J.H. Lu: IEEE Trans. Acoust., Speech Signal Process Vol. 38 (1990) No. 6, p.1028–1038.

Google Scholar

[5] H. S. Kim, H. -K. Lee: IEEE Transactions on Circuits and Systems for Video Technology Vol. 13 (2003) No. 8, pp.766-775.

Google Scholar

[6] H. P. Ren, Z.L. Ping, Wurigen, Y.L. Sheng: J. Opt. Soc. Am. A Vol. 20 (2003) No. 4, pp.631-637.

Google Scholar

[7] Ziliang Ping, Haiping Ren: Pattern recognition Vol. 40 (2007), pp.1245-1254.

Google Scholar

[8] Sun-kyoo Hwang: Pattern Recognition Vol. 39 (2006), p.2065-(2076).

Google Scholar