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Proceedings Paper

Multisensor Image Registration: Experimental Verification
Author(s): Yair Barniv; David Casasent
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Paper Abstract

A general multisensor image processor and image model are described and experimental verification of their use are provided. The pixel correlation coefficient is shown to be an adequate measure of the statistical independence of the gray levels in a multisensor image pair and to be of use as a guide to selecting various preprocessing operators. Experimental results obtained on the various multisensor image data bases verify our theory Quite well and have contributed considerable practical insight into the processing of imagery with random contrast reversal intensity differences.

Paper Details

Date Published: 7 December 1981
PDF: 12 pages
Proc. SPIE 0292, Processing of Images and Data from Optical Sensors, (7 December 1981); doi: 10.1117/12.932828
Show Author Affiliations
Yair Barniv, Carnegie-Mellon University (United States)
David Casasent, Carnegie-Mellon University (United States)


Published in SPIE Proceedings Vol. 0292:
Processing of Images and Data from Optical Sensors
William H. Carter, Editor(s)

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