提出了多阈值模糊互信息图像分割新方法。
The new image multi-threshold method based on fuzzy mutual information is proposed.
其次将模糊互信息量用于图像分割时给出具体隶属度函数的构造；
Second, the method of constructing fuzzy membership function is proposed in image segmentation based on fuzzy mutual information.
最后采用混沌优化法来获得多阈值模糊互信息分割方法的最佳阈值。
Finally, the optimal thresholds of image segmentation based on fuzzy mutual information is obtained by means of chaos optimization method.
实验表明，模糊互信息函数比互信息函数具有更少的局部极值点和更好的优化特性。
Experiment results show that similarity measure based on fuzzy mutual information has less local extremums and better optimization character.
实验表明，模糊互信息函数比互信息函数具有更少的局部极值点和更好的优化特性。
Experiment results show that similarity measure based on fuzzy mutual information has less local extremums and better optimization character.
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