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This paper presents progress in the investigation and development of methods for the automatic localization, extraction, analysis and comparison/classification of the features in signals and their spectra. With diverse applications, different feature attributes turn out to be significant for the investigated phenomena. The general feature characteristics are morphologic and therefore suitable for a variety of algorithms focused on visual data processing, which we use in the automatic feature recognition. Our major applications were in the analysis of biological signals, and acoustic, sonar and radar signals; the methods presented here are applicable in other areas as well.

Automatic Recognition of Features in Spectrograms Based on some Image Analysis Methods