本文基于模糊数学理论，建立了水声图像的模糊特征矩阵，并采用正弦模糊分布函数对真实的水声图像进行了增强处理。
This paper defined the matrix of fuzzy characteristics of sonar images based on the theory of fuzzing mathematics, and enhanced the image by using the sine fuzzy function.
实验表明，改进的APEX算法能够有效应用在多种真实模糊图像上，增强图像对比度和锐化图像细节，使图像的视觉效果得到明显改善。
The improved APEX method could be usefully applied to a wide variety of real blurred images and enhanced contrast and sharpened structural details, leading to noticeable improvement in visual quality.
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.
该方法通过定义图像的平滑性测度，采用模糊增强技术对图像的灰度直方图进行增强，然后在增强的直方图上，利用自适应多阈值分割方法进行图像分割。
By defining a region smoothness measure, the method firstly enhances peak-valley feature of image histogram by fuzzy set technique, and then segments image using adaptive multi-thresholding method.
最后对具有多峰直方图分布图像的模糊增强方法进行了推广。
This algorithm is also extended to the enhancement of the multi-threshold image.
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。
In chapter 5, we propose an image enhancement algorithm in transform field based on fuzzy information processing technique.
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 fuzzy enhancement gray scale linear transformation is used to improve image enhancement result further.
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.
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。
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.
接着进行多次迭代的图像模糊增强，主要目的是减小图像模糊判决的不确定性；
Secondly, the fuzzy image data are enhanced for special times, which could reduce the uncertainty in the fuzzy rules.
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.
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.
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.
增加了一些增强图像效果的特殊功能，如模糊、马赛克效果、图像雾化、增加单色或彩色噪声点等。
The thesis also gives some special functions to enhance the image effect, for instance, blur, mosaic, spray, mono-noise and color noise, etc.
该算法利用模糊粗糙集理论，依照图像的视觉特性，采用传统的图像增强方法进行图像预处理。
The algorithm makes use of fuzzy-rough sets theory to describe its uncertainty degree and carries through its pre-processing with traditional methods according to the image's visual property.
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，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。
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.
处理结果有效地去除原图像的斑点噪声，使图像中较模糊、对比度差的细节得到增强，优于传统的直方图均衡增强方法。
And the output image has adequate contrast, obvious levels. The dim and low-contrast detail has been enhanced. The method is preceded with that the histogram enhancement.
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。
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.
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。
Image enhancement based on fuzzy theory for infrared images has been mainly researched in this paper.
实验表明，本文提出的指纹图像增强算法对模糊，缺损的指纹图像有较好的增强效果。
The experiment indicated that these fingerprint enhancement methods which were introduced in this paper, could amend the mistiness fingerprint with a good impact.
针对掩模法存在边缘模糊负面效应的问题，提出了一种基于掩模法的新型图像增强算法。
A new image enhancement algorithm based on covering template method was proposed in allusion to problem of blurring of edge contour induced by using the method.
针对掩模法存在边缘模糊负面效应的问题，提出了一种基于掩模法的新型图像增强算法。
A new image enhancement algorithm based on covering template method was proposed in allusion to problem of blurring of edge contour induced by using the method.
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