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Abstract
This paper describes an automatic threshold selection method for picture segmentation. The basic concept is the definition of an anisotropy coefficient, which is related to the asymmetry of the grey-level histogram. Its use permits the derivation of the entropic thresholds, which has been successfully applied to images having various kinds of histograms. Several experimental results are presented. An extension to multithresholding is also suggested.
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