An Analysis of Histogram-Based Thresholding Algorithms

Abstract Eleven histogram-based global thresholding algorithms are presented in a common notational framework. Relationships among them are identified from 654 mixtures of two Gaussian distributions, plus effects of mixed pixels. The iterated version of Kittler and Illingworth′s minimum error algorithm ( Pattern Recognition , 19, 1986, 41-47) is found to be best.