Task Specific Complexity Metrics For Electronic Vision

Jeffrey J Carlson; Jay B Jordan; Gerald M Flachs

doi:10.1117/12.944702

24 June 1988 Task Specific Complexity Metrics For Electronic Vision

Jeffrey J Carlson, Jay B Jordan, Gerald M Flachs

Proceedings Volume 0901, Image Processing, Analysis, Measurement, and Quality; (1988) https://doi.org/10.1117/12.944702
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

This paper presents a mathematical basis for establishing achievable performance levels for multisensor electronic vision systems. A random process model of the multisensor scene environment is developed. The concept of feature space and its importance in the context of this model is presented. A set of complexity metrics used to measure the difficulty of an electronic vision task in a given scene environment is developed and presented. These metrics are based on the feature space used for the electronic vision task and the a priori knowledge of scene truth. Several applications of complexity metrics to the analysis of electronic vision systems are proposed.

Citation Download Citation

Jeffrey J Carlson, Jay B Jordan, and Gerald M Flachs "Task Specific Complexity Metrics For Electronic Vision", Proc. SPIE 0901, Image Processing, Analysis, Measurement, and Quality, (24 June 1988); https://doi.org/10.1117/12.944702

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