A Threshold Selection Method from Gray-Level Histograms

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Type Paper
Created 1979-01-01
Available at semanticscholar.org/paper/1d4816c612e38dac86f2149af667a5581686cdef
Identifier DOI: 10.1109/TSMC.1979.4310076
Description

A nonparametric and unsupervised method ofautomatic threshold selection for picture segmentation is presented. An optimal threshold is selected by the discriminant criterion, namely, so as to maximize the separability of the resultant classes in gray levels. The procedure is very simple, utilizing only the zerothand the first-order cumulative moments of the gray-level histogram. It is straightforward to extend the method to multithreshold problems. Several experimental results are also presented to support the validity of the method.

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is about Mathematics

created by Nobuyuki Otsu

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