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.
| Original language | English |
|---|---|
| Pages (from-to) | 1327-1330 |
| Number of pages | 4 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 3 |
| Publication status | Published - 1 Jan 1996 |
| Event | Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, United States Duration: 7 May 1996 → 10 May 1996 |
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics