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Proceedings Paper

Adaptive Threshold Adjustment And Control
Author(s): Hannelore G. Hansen; Cyrus Elyashar
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Paper Abstract

We present an algorithm for thresholding that detects potential targets in various kinds of noise that exist in Infrared video images. This algorithm was developed for a real time microprocessor based system that uses a scanning focal plane array to generate the input video image. Our objective is to describe the design and development of a thresholding method that distinguishes the target signal from low frequency scan noise or shading, and high frequency detector noise. The threshold calculation technique chosen, comprises a base 16 pixel Running Average (RA) to which is added a "False Alarm Rate" factor (Alpha) applied to a "Sum Absolute Difference" (SAD) noise measurement. A unique threshold value is calculated for each pixel within the field of view. Pixels with intensity values above their corresponding threshold limits are digitized and stored for further processing. Additionally, we will discuss the algorithm requirements, constraints and performance.

Paper Details

Date Published: 5 September 1989
PDF: 11 pages
Proc. SPIE 1096, Signal and Data Processing of Small Targets 1989, (5 September 1989); doi: 10.1117/12.960339
Show Author Affiliations
Hannelore G. Hansen, Hughes Aircraft Company Missile Systems Group (United States)
Cyrus Elyashar, Hughes Aircraft Company Missile Systems Group (United States)

Published in SPIE Proceedings Vol. 1096:
Signal and Data Processing of Small Targets 1989
Oliver E. Drummond, Editor(s)

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