Translator Disclaimer
30 January 1990 Knowledge Based Image Processing
Author Affiliations +
In order to take a promising Automatic Target Recognition (ATR) algorithm or system from the development stage to the point where it is robust enough for the application which it is intended for, a considerable amount of testing, training, and evaluation is required. This can take years. For example with seemingly slight distortion in the target/clutter characteristics, the algorithm behavior becomes erratic and random. In addition, no well defined method currently exists for designing image processing algorithms. Sophisticated and intelligent tools are needed in order to perform such a task in a rapid & efficient manner. A prototype system has been developed which uses a blackboard architecture and allows rapid mapping of procedural algorithms into a knowledge based development environment. This system was developed at Honeywell Systems and Research Center. Coupled with the graphics interface, this provides a powerful tool for prototyping & tuning ATR algorithms. Significant improvements were obtained from the knowledge based version over the conventionally coded procedural version.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Henry Lai and Mike Bazakos "Knowledge Based Image Processing", Proc. SPIE 1153, Applications of Digital Image Processing XII, (30 January 1990);


ATR Evaluation: Cautionary Comments
Proceedings of SPIE (May 03 1988)
Automated recognition of acoustic-image clutter
Proceedings of SPIE (May 31 1996)
Image enhancement for automatic target detection
Proceedings of SPIE (July 25 2002)
A novel method of dynamic target detection
Proceedings of SPIE (October 24 2006)

Back to Top