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Proceedings Paper

Analysis Of Thermal Infrared And Visual Images For Industrial Inspection Tasks
Author(s): Kevin D. Barnett; Mohan M. Trivedi
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Paper Abstract

In this paper, a method is proposed for the integration of information which can be derived from the thermal infrared and visual modes based on the use of edge (dissimilarity) properties of the two types of images. The method involves the use of the Sobel operator to extract and classify edge points according to their strengths. A point-by-point comparison of edges from the visual and TIR images is made. Heuristics, supported by the physical processes affecting the image formation, are employed to give a probabilistic interpretation to each point in the images based on the strengths of edge points detected in the two images at the point. The validity of this approach is tested in a laboratory environment.

Paper Details

Date Published: 21 March 1989
PDF: 7 pages
Proc. SPIE 1095, Applications of Artificial Intelligence VII, (21 March 1989); doi: 10.1117/12.969297
Show Author Affiliations
Kevin D. Barnett, The University of Tennessee (United States)
Mohan M. Trivedi, The University of Tennessee (United States)


Published in SPIE Proceedings Vol. 1095:
Applications of Artificial Intelligence VII
Mohan M. Trivedi, Editor(s)

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