Fast algorithm for 2-D image moments via the radon transform

Tak Wai Shen, Pak Kong Lun, W. C. Siu

Research output: Journal article publicationConference articleAcademic researchpeer-review

5 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)1327-1330
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 1 Jan 1996
EventProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, United States
Duration: 7 May 199610 May 1996

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics


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