On the basis of fuzzy enhancement gray scale linear transformation is used to improve image enhancement result further.
在模糊增强的基础上进行灰度线性变换，进一步改善图像的增强效果。
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。
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement in order to enhance the contrast of image.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点，完成对图像的对比度增强。
The optimum threshold determined by the theory of image segmentation is to be the crossover point of the fuzzy enhancement, in order to enhance the contrast of image.
利用图像分割原理确定的最佳阈值作为模糊增强的分界点，完成对图像的对比度增强。
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。
The author firstly uses the fuzzy enhancement. According to the characteristic of the underwater image, a statistics-based method is proposed to choose the adaptive cross point.
首先，考虑到水下图像的特点，我们采用图像的模糊增强技术，并使用统计学方法快速自适应地选取渡越点。
This paper discusses the internal relation between fuzzy theory and remote sensing image processing and puts forward the enhancement of remote sensing image based on FIRE filter.
探讨了模糊理论与遥感图像处理的内在联系；提出了一种基于FIRE滤波器的遥感图像模糊增强方法。
Through fuzzy partition of the image histogram, achieve the aim of the adaptive image enhancement.
其次利用灰度值的统计特性达到了图像自适应增强的目的。
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。
It discusses in detail the establishment of enhancement operator and the concrete steps of image enhancement by using fuzzy theoretic approach.
提出了一种新的适度模糊增强算法，详细讨论了增强算子的建立及用模糊方法进行图象增强的具体步骤。
Experimental results show that remarkable improvement of enhancement effect was obtained by adjusting fuzzy parameter.
实验表明通过调节模糊参数可显著提高图象的增强效果。
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。
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。
Image enhancement based on fuzzy theory for infrared images has been mainly researched in this paper.
本文以模糊理论为基础研究了针对红外图像的增强处理方法。
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。
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。
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