Fuzzy entropy is defined at first, then a new fuzzy clustering method based on maximum fuzzy entropy is proposed, that is GCM method.
介绍了一种新的模糊聚类方法，定义了模糊熵，提出了基于最大模糊熵的模糊聚类的方法，得到了一种新的聚类算法——GCM算法。
The method defines different member function for the object and background of the image to transform the image into fuzzy domain with maximum fuzzy entropy.
该方法将图像分为目标和背景，并分别建立相应的模糊隶属函数来描述图像各个灰度级属于目标和背景的模糊特性，进而给出图像模糊熵的描述。
Results The numerical example shows that fuzzy relative entropy method and maximum minimum closeness method have the same results for fuzzy pattern recognition.
结果数值例子说明模糊相对熵方法和最大最小贴近度方法得出了一致的模糊识别的结果。
To overcome the defects of image segmentation by maximum entropy, a new method of image segmentation was presented by using fuzzy maximum exponential entropy based on histogram.
针对最大熵阈值分割算法的计算缺陷，提出了一种基于直方图的模糊最大指数熵阈值图像分割新算法。
An approach for infrared image segmentation based on fuzzy partition maximum entropy of two-dimensional histogram optimized by Chaos ant colony algorithm is proposed.
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.
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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