Translator Disclaimer
Paper
25 September 1998 Analysis of moment performance
Author Affiliations +
Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323623
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China
Abstract
In this paper, we analyze and compare the performance, both in spatial and frequency domains, of different moments. Our analysis shows that Legendre and Gaussian-Hermite moments better separate image features based on different spatial modes and Gaussian-Hermite moments are less sensitive to noise. Analysis on spectral performance shows that Legendre and Gaussian-Hermite moments separate different frequency bands more effectively than others. It is also shown that Gaussian-Hermite moments give an approach to construct orthogonal features from wavelet analysis results. Experimental results are reported.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Shen and Wei Shen "Analysis of moment performance", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323623
PROCEEDINGS
4 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Image segmentation based on pixel feature manifold
Proceedings of SPIE (December 08 2011)
Comparison study of geometric and orthogonal moments
Proceedings of SPIE (October 06 1998)
A fast algorithm for wide baseline match basing on feature...
Proceedings of SPIE (September 08 2011)
Image classification using wavelet features
Proceedings of SPIE (January 14 1999)

Back to Top