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.
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