| Autor: |
Wolkenstein, M., Hutter, H., Nikolov, S. G., Grasserbauer, M. |
| Zdroj: |
Fresenius' Journal of Analytical Chemistry; Mar1997, Vol. 357 Issue 7, p783-788, 6p |
| Abstrakt: |
Classification is a powerful tool for the extraction of chemical information from analytical images. However, classification may sometimes not be applicable, when the clusters corresponding to single phases overlap due to high noise levels, such that they are not significantly distinguishable. We investigate the effect of the wavelet shrinkage de-noising algorithm on the subsequent classification of analytical images. By application of wavelet de-noising the distinction of phases in classification can be significantly improved. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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