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Local Estimation of the Uniform Error Threshold

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3 Author(s)
Stanley M. Dunn ; Computer Vision Laboratory, Center for Automation Research, University of Maryland, College Park, MD 20742. ; David Harwood ; Larry S. Davis

The theory behind selection of the ``uniform error'' threshold which equalizes the probability of misclassification in an image containing two classes is presented. It is shown how this threshold can be estimated using local operations. Some examples and possible extensions are considered.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:PAMI-6 ,  Issue: 6 )