Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17210
Title: Fast algorithm for 2-D image moments via the radon transform
Authors: Shen, TW
Lun, DPK 
Siu, WC 
Issue Date: 1996
Publisher: IEEE
Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1996, v. 3, p. 1327-1330 How to cite?
Abstract: In this paper, a fast algorithm for the computation of the two-dimensional image moments is proposed. In our approach, a new discrete Radon transform (DRT) is used for the major part of the algorithm. The new DRT preserves an important property of the continuous Radon transform that the regular or geometric moments can be directly obtained from the projection data. With this property, the computation of a two-dimensional (2-D) image moments can be decomposed as a number of one-dimensional (1-D) ones, hence greatly reduces the computational complexity. Comparisons of the computational complexity and performance with some known methods are also given. It shows that the proposed algorithm significantly reduces the complexity and computation time.
Description: Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6), Atlanta, GA, USA, 7-10 May 1996
URI: http://hdl.handle.net/10397/17210
ISSN: 0736-7791
Appears in Collections:Conference Paper

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