Image representation using accurate orthogonal Gegenbauer moments

被引:74
作者
Hosny, Khalid M. [1 ]
机构
[1] Zagazig Univ, Fac Comp & Informat, Dept Informat Technol, Zagazig, Egypt
关键词
Gegenbauer moments; Legendre moments; Chebyshev moments; Symmetry property; Fast algorithm; Gray-level images; FAST COMPUTATION;
D O I
10.1016/j.patrec.2011.01.006
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Image representation by using polynomial moments is an interesting theme. In this paper, image representation by using orthogonal Gegenbauer function is presented. A novel method for accurate and fast computation of orthogonal Gegenbauer moments is proposed. The accurate values of Gegenbauer moments are obtained by mathematically integrating Gegenbauer polynomials multiplied by their weight functions over the digital image pixels. A novel recurrence formula is derived for the kernel generation. The proposed method removes the numerical approximation errors involved in conventional method. A fast algorithm is proposed to accelerate the moment's computations. A comparison with the conventional method is performed. The obtained results explain the efficiency and the superiority of the proposed method. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:795 / 804
页数:10
相关论文
共 13 条
[1]  
Abramowiz M, 1965, Hand Book of Mathematical Functions
[2]  
Buchanan J., 1992, NUMERICAL METHODS AN
[3]  
CHIANG A, 2002, P 2002 IEEE CAN C EL
[4]   Exact Legendre moment computation for gray level images [J].
Hosny, Khalid M. .
PATTERN RECOGNITION, 2007, 40 (12) :3597-3605
[5]   Exact and fast computation of geometric moments for gray level images [J].
Hosny, Khalid M. .
APPLIED MATHEMATICS AND COMPUTATION, 2007, 189 (02) :1214-1222
[6]   Fast computation of accurate Zernike moments [J].
Hosny, Khalid M. .
JOURNAL OF REAL-TIME IMAGE PROCESSING, 2008, 3 (1-2) :97-107
[7]   Fast and accurate method for radial moment's computation [J].
Hosny, Khalid M. .
PATTERN RECOGNITION LETTERS, 2010, 31 (02) :143-150
[8]   VISUAL-PATTERN RECOGNITION BY MOMENT INVARIANTS [J].
HU, M .
IRE TRANSACTIONS ON INFORMATION THEORY, 1962, 8 (02) :179-&
[9]  
LIAO S, 2002, P IEEE 16 INT C PATT
[10]  
Pawlak M., 2006, Image Analysis by Moments: Reconstruction and Computational Aspects