该文提出了一种通过最大化二维直方图模糊划分熵分割灰度图像的新算法。

In this paper a novel method is presented to segment gray level image through maximizing the fuzzy partition entropy of two-dimensional histogram.

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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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