Abstract
This paper describes an automatic threshold selection method for picture segmentation, using the entropy of the grey level histogram. It is shown that, by an a priori maximation of an entropy determined a posteriori, a picture can successfully be thresholded into a two-level image. Several experimental results are presented to show the validity of the method. An extension to multithresholding and to multidimensional histogram processing is also discussed.
Published Version
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