Otsu is based on gray-scale image features, the image is divided into two parts, the target and background, background and objectives of the greater between-class variance, indicating the composition of the image the greater the difference between the two parts. As part of the target into the background or the wrong part of the background into the wrong target, the difference between the two parts will lead to smaller. Therefore, the maximum between-class variance of the probability of misclassification means that the smallest division.

OtsuHist.m

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