最大模糊能量图像阈值分割法

最小模糊熵阈值法是一个常用的图像分割方法。依据模糊熵的对偶概念：模糊能量，提出了对应的最大模糊能量阈值法。考虑到最大模糊能量阈值法在有些情况下不能有效找到直方图的谷点，通过融入阈值点的概率信息，提出了一种改进的加权最大模糊能量阈值法，改进方法能够使得分割阈值点更接近图像直方图的谷底。实验结果表明，改进的最大模糊能量阈值法对单峰直方图和小目标图像有更好的分割效果。

Image thresholding method based on maximum fuzzy energy

The minimum fuzzy entropy thresholding method is commonly used for image segmentation. Based on the dual conception of the fuzzy entropy, the corresponding maximum fuzzy energy image thresholding method is presented. Consider that the threshold obtained by the maximum fuzzy energy threshold method cannot be used to locate the valley of the image histogram in some cases, a revised method is proposed by adding the probability information of the thresholding point. The threshold gotten by the revised method is much close to the valley of the gray level histogram. Experiment results show that the new segmentation method can get good results for images with an unimodal histogram or with small objects.