A Production System For Scene Analysis And Semantically Guided Segmentation

G. S. Duane; S. F. Venable; D. J. Richter; A. M. Wiedemann

doi:10.1117/12.948404

5 April 1985 A Production System For Scene Analysis And Semantically Guided Segmentation

G. S. Duane, S. F. Venable, D. J. Richter, A. M. Wiedemann

Proceedings Volume 0548, Applications of Artificial Intelligence II; (1985) https://doi.org/10.1117/12.948404
Event: 1985 Technical Symposium East, 1985, Arlington, United States

Abstract

A forward-chaining production system has been constructed to analyze sequences of forward-looking infrared (FLIR) images. The system exploits relationships between various scene elements to aid in the identification of small objects. The system also integrates semantic considerations into the process of object/background segmentation. Parameters are first set in a standard edge-based segmenter so as to produce an over-segmentation of the image. A set of production rules is used to merge segments and adjust parameters depending on the initial interpretations of the segments, relationships between segments, and on interpretations of the final segments. Results compare favorably with those obtained from the same standard segmenter used with parameters optimized for interpretation-blind operation.

Citation Download Citation

G. S. Duane, S. F. Venable, D. J. Richter, and A. M. Wiedemann "A Production System For Scene Analysis And Semantically Guided Segmentation", Proc. SPIE 0548, Applications of Artificial Intelligence II, (5 April 1985); https://doi.org/10.1117/12.948404

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