On the basis of analyzing disadvantages of traditional fuzzy enhancement algorithms, a generalized fuzzy enhancement algorithm is put forward.
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。
We apply the method of fuzzy entropy to analyze the enhancement effects and the influencing factors of the generalized fuzzy enhancement algorithm.
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。
In this paper the speech enhancement method based on fuzzy system is discussed in strong background noise, and a comparison is made between this method and the spectral subtraction algorithm.
讨论强背景噪声下的基于模糊系统的语音增强方法，并与减谱法语音增强算法进行比较。
In chapter 5, we propose an image enhancement algorithm in transform field based on fuzzy information processing technique.
第五章提出了一种基于模糊信息处理的图像变换域增强算法。
The image enhancement based on fuzzy sets have been gradually applied to the actual image processing, and shown that it is superior to the traditional image enhancement algorithm.
基于模糊集的图像增强方法逐渐被应用到实际的图像处理中，并且显示出它优于传统图像增强算法的特点。
In this paper, a brief introduction of the traditional algorithm of image enhancement using fuzzy set is presented and the shortcoming of the algorithm is also given.
本文简要地讨论了传统模糊增强算法的原理，并详细讨论了这种算法所存在的缺陷。
The shortcoming of morphological edge enhancement algorithm has been discussed. Based on that, an adaptive edge width reduction enhancement fuzzy algorithm is presented.
针对形态边缘减宽增强算法的不足，提出了一种自适应模糊边缘减宽增强算法。
Aiming at the disadvantage of fuzzy image, by making some analysis about extracting edge feature based on fuzzy contrast enhancement algorithm, two images registration is achieved.
针对模糊图像的弱点，分析了通过增强象素模糊属性对比度来提取边界特征的基本原理，实现了两幅图像的配准。
Aiming at the disadvantage of fuzzy image, by making some analysis about extracting edge feature based on fuzzy contrast enhancement algorithm, two images registration is achieved.
针对模糊图像的弱点，分析了通过增强象素模糊属性对比度来提取边界特征的基本原理，实现了两幅图像的配准。
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