Generalized Fuzzy Operator (GFO) is a new efficient algorithm for edgedetection of an image.
广义模糊算子法是一种用于图象边缘检测的全新而有效的方法。
Experiments show that compared with the method of relief display based on generalized fuzzy operator, the method is much better in both the display effect and computational cost.
其浮雕显示实验表明，与使用广义模糊算子实现的图像浮雕显示方法相比，本文所提方法能获得更为满意的浮雕显示效果，且计算的时间耗费大大降低。
The image templates were firstly processed by Generalized Fuzzy Operator(GFO), then the edge characteristic points obtained by GFS were used as the match points to put some pieces of images together.
应用这些特征点进行眼底图象的配准，最终将各部分眼底图象拼接成一较完整的图象。
Fuzzy entropy is introduced to evaluate the enhancement effects and the characteristic of the sine membership function and generalized fuzzy enhancement operator is analyzed.
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.
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。
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