Copyright © 1997 Published by Elsevier Inc.
Possibilistic testing of distribution functions for change detection
Received 27 August 1996;
revised 31 October 1996;
accepted 19 November 1996.
Available online 24 July 2000.
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Abstract
Change detection algorithms are proposed that are based on the comparison of distribution functions. Estimated values of distributions are associated with a binomial distribution that is used to define fuzzy similarity classes. Fuzzy concepts are used to combine partial evaluations to a measure that indicates the departure of a signal from its reference.
Keywords: Change detection; Density estimation; Binomial distribution; Possibility theory





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