Early vision model for target detection

Abstract
This paper examines the applicability of computational vision models (CVM) to characterize thermal and visual imagery. A specific CVM model is described for the analysis of individual target characteristics and background clutter. A unique feature of the methodology is the spatial and temporal decomposition of the input image into various bandpass filters or channels. A description is given of the various model processes along with some representative examples of the subsequent analysis.

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