The data of experiment shows that the algorithm can separate skin and non-skin regions accurately, and then the result of segmentation is better than method using two-dimensional maximum entropy.

实验数据表明，该算法准确清晰地分割了人脸的皮肤区域与非皮肤区域，且分割效率和效果比单纯使用常用的二维最大熵分割算法更优化。

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An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.

提出了一种基于混沌蚁群算法优化二维模糊划分最大熵的红外图像分割方法。

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