Orthogonal Fourier-Mellin (OFM) moments have many desirable properties such as rotation invariance, robustness to noise, expression efficiency, fast computation and multi-level representation for describing the shapes of patterns, but there is a major drawback with OFM moments, they need to normalize an image to achieve scale invariance. This approach will take some errors since it involves the re-sampling and re-quantifying of digital images, and leads to inaccuracy of classifier. In this paper, we present an improved OFM moments, experiments show that the improved OFM moments not only have better rotation invariance, but also have scale invariance, the invariance of improved OFM moments have been greatly improved over the present methods.

Date Published: 4 January 2006
PDF: 5 pages
Proc. SPIE 5985, International Conference on Space Information Technology, 598531 (4 January 2006); doi: 10.1117/12.657926

Published in SPIE Proceedings Vol. 5985:
International Conference on Space Information Technology
Cheng Wang; Shan Zhong; Xiulin Hu, Editor(s)