本文介绍一种对具有宽度的线状物体进行整体灰度增强的方法。
This paper presents a real time Low-Light-Level Video gray enhancement system based on CPLD and video codec chip.
传统的图像灰度增强方法通过增大灰度级别的间距来达到增加图像灰度对比度的目的。
By increasing the intervals of gray levels, enhancing gray contrast is implemented by the traditional gray enhancement algorithms.
针对分段线性灰度增强，本文实现了通过人机交互的方式来选取恰当的分段点和增强参数。
Aiming at segmented linear gray transform, selecting the fit segment points and the fit enhancement parameters by an interactive means is realized.
对虚拟人图像数据作多种二维处理，包括图像几何变换、灰度增强、格式转换和压缩、图像配准和分割。
Many methods are used to finish VCH planar image processing, including image geometry transform, gray-scale enhancement format transition and compression , image registration and segmentation.
分析了传统灰度图像直方图均衡化算法的不足，讨论并实现了一种改进的直方图均衡化图像增强算法。
A modified algorithm of histogram equalization to gray image manipulation was discussed and actualized by analyzing principia and deficiency of the traditional algorithm of gray image.
传统的直方图均衡和灰度变换增强算法，不能针对红外图像的目标进行有效地增强。
Traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively.
通过对PCNN工作原理和行为机制的深刻剖析，本文提出基于PCNN的低对比度的灰度图像增强算法。
This paper introduces a new method of low contrast gray image enhancement based on PCNN after studying the operation elements and action mechanism of PCNN.
将灰度转化为彩色显示，可以增强图象的视觉效果；
The vision effect of the image can be enhanced by transforming black-white image into the coloring.
由灰度统计直方图均衡所实现的彩色增强处理降低了虚拟照相系统对环境照度的要求。
The color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system.
针对这一情况，将直方图均衡和灰度拉伸相结合，增强牌照图像，使图像更加清晰。
Aiming at this problem, histogram equalization and gray stretch are used to enhance license plate image, and make the image clearer.
通过局部图像增强的自动阈值选择等手段，解决视网膜血管图像与局部背景之间因灰度混同所造成的二值化困难；
It solves the difficulty in binarization due to gray level confusion between local background and image by automatic thresholding with local image enhancement.
传统的图像增强方法有灰度变换、直方图修正、直方图均衡、图像平滑和维纳滤波。
The traditional image enhancement approaches include gray-scale transformation, histogram modification, histogram equalization, image smoothing and Wiener filtration.
针对红外图像，采用双门限分割法进行图像分割，然后采用分段灰度变换法进行图像增强。
An infrared image processing solution is proposed. It USES bi-threshold method to segment image and enhance the image with segmentation gray scale transform method.
针对图像中的高灰度区和灰度剧变区，应用图像局部均值和方差自适应调节增强系数。
For the regions in image where gray value is high or change intensely, local mean value and variance is adopted to control enhancement coefficients.
灰度等级少、对比度低的降质图像增强问题。
The image enhancement problem for degraded images with less gray levels and low contrasts.
提出并实现了三种用于增强传统的灰度扫描电镜图象的彩色化显示技术。
Three colorated displaying techniques for intensifying traditional black-white image of SEM (scanning electron microscope) were introduced and realized.
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.
针对图像中的高灰度区和灰度剧变区，应用图像局部均值和方差自适应调节增强系数。
For regions with high grey-scale level or with tensely variable grey level, the image enhancement coefficients shall be adaptively controlled based on local mean value and variance.
通过灰度拉伸增强图像对比度，通过二值化处理实现图像中背景和对象的分割。
The contrast of the image was enhanced by gray expanding and the key threshold of the binarization algorithm was determined based on the dynamical threshold method.
此方法既扩大了图象灰度的动态范围，又使得图象中的局部对比度得到了增强。
A new contrast enhancement technique is presented, which can not only extend the dynamic scope of the image gray scale, but also increase the local image contrast.
超图像观察窗是图像增强处理的一种方式，即灰度变换，它能改变图像的视觉印象。
It is a transformation of the gray level and can change visual perception impression of the image.
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。
Through fuzzy partition of the image histogram, achieve the aim of the adaptive image enhancement.
针对散斑条纹的灰度值具有由两边向中间逐渐增强的特点，提出了一种新的计算机自动处理算法。
Based on the characteristics that the gray values of speckle image are weakening from both sides to the middle gradually, a new algorithm for speckle image processing is proposed.
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.
用彩色扫描仪输入紧密织物组织的灰度图像并将其转换为数字文件，然后通过灰度图像形态学处理获得增强图像。
The gray-level image of solid woven fabrics is captured by a color scanner and converted into digital files, then enhanced images are obtained by a gray-level morphological operation.
传统的图像增强处理是针对图像灰度分布的不同情况，来定义相应的灰度变换函数。
Traditional image enhancement is to define corresponding gray transform function according to gray distribution of the image.
对原始图像用所提出的判据判断图像的对比度类型，针对不同类型直接确定灰度变换参数，实现图像全局对比度增强。
Contrast type of original image is determined by a new criterion. Gray transform parameters are directly obtained by the new criterion. Global enhancement is implemented to the original image.
灰度线性变换法能够加大图像动态范围，增强高通滤波法能够增强图像的精细结构。
We can expand dynamic range using grey linear transformation, and make fine structures improved using enhanced high -pass filtering method.
增强后的图像灰度分布更均匀，对比度得到明显提高。
The enhanced images have more equal grey distribution. So the contrast is rapidly progressed.
增强后的图像灰度分布更均匀，对比度得到明显提高。
The enhanced images have more equal grey distribution. So the contrast is rapidly progressed.
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