Variance between class size of the noise and the target is very sensitive, it only to the between class variance to unimodal images produce better segmentation effect. The disparity between the target and the background when the size ratio, the between class variance criterion function may present Shuangfeng or multi peaks, the effect is not good at this time, but the between class variance method is used when the least.

基于分形的改进Otsu红外图像分割算法_康怀祺.pdf

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