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.
机构:
Univ Malaya, Dept Elect Engn, Fac Engn, Kuala Lumpur 50603, Malaysia
Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, SingaporeUniv Malaya, Dept Elect Engn, Fac Engn, Kuala Lumpur 50603, Malaysia
Wee, Chong-Yaw
Paramesran, Raveendran
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机构:
Univ Malaya, Dept Elect Engn, Fac Engn, Kuala Lumpur 50603, MalaysiaUniv Malaya, Dept Elect Engn, Fac Engn, Kuala Lumpur 50603, Malaysia
Paramesran, Raveendran
Mukundan, R.
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机构:
Univ Canterbury, Dept Comp Sci & Software Engn, Christchurch 8020, New ZealandUniv Malaya, Dept Elect Engn, Fac Engn, Kuala Lumpur 50603, Malaysia
Mukundan, R.
Jiang, Xudong
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机构:
Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, SingaporeUniv Malaya, Dept Elect Engn, Fac Engn, Kuala Lumpur 50603, Malaysia