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Spectral-morphological analysis of acoustical images of biological tissues and composite structures: II. Test classification of acoustomicroscopic images

Spectral-morphological analysis of acoustical images of biological tissues and composite... Abstract Results of numerical classification of different structure types in acoustomicroscopic images of real biological tissues and composite structures are reported. The classification is based on the Bayesian statistical hypothesis testing method. General realizations of this method in the form of the spatial-spectrum and spectral-morphological approaches are considered. The spatial-spectrum approach cannot discriminate between morphologically different structures with statistically identical power spectra. This disadvantage is eliminated in the spectral-morphological approach, which uses information on the spectral properties of the structure type being classified, as well as on the particular form of its characteristic features. The general approaches and their particular realizations (Bartlett’s and Pisarenko’s methods) are compared as applied to practical problems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acoustical Physics Springer Journals

Spectral-morphological analysis of acoustical images of biological tissues and composite structures: II. Test classification of acoustomicroscopic images

Burov, V. A.; Kim, E. L.; Rumyantseva, O. D.
Acoustical Physics , Volume 51 (3): 10 – Jun 1, 2005
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References (10)

Publisher
Springer Journals
Copyright
2005 Pleiades Publishing, Inc.
ISSN
1063-7710
eISSN
1562-6865
DOI
10.1134/1.1922538
Publisher site
See Article on Publisher Site

Abstract

Abstract Results of numerical classification of different structure types in acoustomicroscopic images of real biological tissues and composite structures are reported. The classification is based on the Bayesian statistical hypothesis testing method. General realizations of this method in the form of the spatial-spectrum and spectral-morphological approaches are considered. The spatial-spectrum approach cannot discriminate between morphologically different structures with statistically identical power spectra. This disadvantage is eliminated in the spectral-morphological approach, which uses information on the spectral properties of the structure type being classified, as well as on the particular form of its characteristic features. The general approaches and their particular realizations (Bartlett’s and Pisarenko’s methods) are compared as applied to practical problems.

Journal

Acoustical Physics – Springer Journals

Published: Jun 1, 2005

Keywords: Acoustics

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