A new method for grey-level picture thresholding using the entropy of the histogram

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