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。

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

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分析了图像局部熵的性质，提出了一种基于图像局部熵的红外图像分割方法。

The property of local entropy of image and a novel method of infrared objects detecting based on local entropy of image were presented.

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针对模糊核聚类对红外图像分割存在的不足，提出了一种改进的模糊核聚类红外图像分割算法。

Due to the problems of infrared image segmentation using fuzzy kernel clustering, an improved method for infrared image segmentation was proposed.

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