该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。
By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.
另一方面，文中还给出了广义模糊积分平均收敛蕴涵依测度收敛的几个简洁的充分性条件，以及使两者等价的条件。
On the other hand, we also give several terse sufficiency conditions where the fuzzy mean convergence of (G) fuzzy integrals implies the convergence in fuzzy measure and making them equivalent.
在可能性测度的粗糙集解释基础上，给出了模糊集与粗糙集的一个转化算法，从而建立了两种非经典集合之间的关系。
Based on the interpretation of possibility measure based on rough set, we give an conversion algorithm of fuzzy set and rough set, thus establish a connection between these two non-classical set.
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