Application of image processing technology to 2-D signal processing

John R. Meckley

doi:10.1117/12.47967

1 April 1991 Application of image processing technology to 2-D signal processing (Abstract Only)

John R. Meckley

Proceedings Volume 1406, Image Understanding in the '90s: Building Systems that Work; (1991) https://doi.org/10.1117/12.47967
Event: Applied Imaging Pattern Recognition, 1990, McLean, VA, United States

Abstract

The analytical and processing developments in the field of Image Understanding over the last 15 years have led to the creation of a set of processing tools for the detection, characterization (feature extraction), and classification of 2 dimensional signals. This set of tools is applicable to 2 dimensional signals other than the traditional "image" type signals. In particular, for passive sonar detection processing several 2 dimensional signal transforms are generated from the 1 dimensional sensor time series data. These transforms are selected in order to concentrate signal energy locally within the 2 dimensional transform. A classic example is the Lofargram which is a grequency versus time transform of the time series data. If the acoutic source is emitting tones (for example from machinery) then the Lofargram will contain line like structures.

Citation Download Citation

John R. Meckley "Application of image processing technology to 2-D signal processing (Abstract Only)", Proc. SPIE 1406, Image Understanding in the '90s: Building Systems that Work, (1 April 1991); https://doi.org/10.1117/12.47967

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