A novel algorithm for fast computation of Zernike moments
β Scribed by J. Gu; H.Z. Shu; C. Toumoulin; L.M. Luo
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 369 KB
- Volume
- 35
- Category
- Article
- ISSN
- 0031-3203
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β¦ Synopsis
Zernike moments (ZMs) have been successfully used in pattern recognition and image analysis due to their good properties of orthogonality and rotation invariance. However, their computation by a direct method is too expensive, which limits the application of ZMs. In this paper, we present a novel algorithm for fast computation of Zernike moments. By using the recursive property of Zernike polynomials, the inter-relationship of the Zernike moments can be established. As a result, the Zernike moment of order n with repetition m, Znm, can be expressed as a combination of Zn-2;m and Zn-4;m. Based on this relationship, the Zernike moment Znm, for n ΒΏ m, can be deduced from Zmm. To reduce the computational complexity, we adopt an algorithm known as systolic array for computing these latter moments. Using such a strategy, the multiplication number required in the moment calculation of Zmm can be decreased signiΓΏcantly. Comparison with known methods shows that our algorithm is as accurate as the existing methods, but is more e cient.
π SIMILAR VOLUMES
Moment invariants are important shape descriptors in computer vision. The method of decomposing the trigonometric function is suggested to obtain various moment invariants. Based on this method, the "multi-ΓΏlter" algorithm is introduced as an ecient way to generate large numbers of moment invariants