在分析传统的图像模糊增强算法缺陷的基础上，提出了一种广义模糊增强的方法。
On the basis of analyzing disadvantages of traditional fuzzy enhancement algorithms, a generalized fuzzy enhancement algorithm is put forward.
引入模糊熵的方法分析增强效果，并分析了广义模糊增强算法中影响增强效果的因素。
We apply the method of fuzzy entropy to analyze the enhancement effects and the influencing factors of the generalized fuzzy enhancement algorithm.
通过对焊缝图像进行广义模糊增强处理表明，该算法在增强对比度同时又可较好保持边缘。
Using this algorithm to dealing with weld image, the contrast ratio can be improved and the edges can be preserved well.
引入了模糊熵的方法来评价图像的增强效果，并对提出的正弦隶属度函数及广义模糊增强算子的特性进行了分析。
Fuzzy entropy is introduced to evaluate the enhancement effects and the characteristic of the sine membership function and generalized fuzzy enhancement operator is analyzed.
广义模糊选择操作中允许用户自定义广义模糊比较运算以及指定阈限，从而增强了模糊查询的表达能力和灵活性。
In the generalized fuzzy selection operation, a user may define generalized fuzzy comparators and provide thresholds, hence the expressive power and flexibility of fuzzy queries are enhanced.
广义模糊选择操作中允许用户自定义广义模糊比较运算以及指定阈限，从而增强了模糊查询的表达能力和灵活性。
In the generalized fuzzy selection operation, a user may define generalized fuzzy comparators and provide thresholds, hence the expressive power and flexibility of fuzzy queries are enhanced.
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