提出了改进的广义模糊算子(GFO)边缘检测新方法。
A new method for edge detection with improved General Fuzzy Operator (GFO) is proposed.
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。
Generalized Fuzzy Operator (GFO) is a new efficient algorithm for edgedetection of an image.
本文提出采用数学形态学和线形广义模糊算子相结合的方法检测肿瘤边缘，再根据检测结果得到的肿瘤部位轮廓计算肿瘤大小。
This paper presents a new method, which detects the edge of tumour by adopting mathematical morphology and linear general fuzzy operator.
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。
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.
最后，给出了广义模糊粗糙近似算子的分解与合成定理。
At last, we we prove the decomposition and synthetize theorems of general fuzzy rough approximation operator.
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.
首先以蕴涵算子为基础从有限扰动模糊命题逻辑出发，讨论其逻辑代数及广义重言式的性质。
Firstly, on the basis of implication, originating from the limited Disturbing Fuzzy Propositional logic, discusses its logic algebra and the properties of its generalized tautology.
首先以蕴涵算子为基础从有限扰动模糊命题逻辑出发，讨论其逻辑代数及广义重言式的性质。
Firstly, on the basis of implication, originating from the limited Disturbing Fuzzy Propositional logic, discusses its logic algebra and the properties of its generalized tautology.
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