Analysis of moment performance

Jun Shen; Wei Shen

doi:10.1117/12.323623

25 September 1998 Analysis of moment performance

Jun Shen, Wei Shen

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.

Citation Download Citation

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

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