通常的直方图均衡化规则精度较低。
实现直方图均衡化于算法4.1中描述。
Implement histogram equalization as described in Algorithm 4.1.
给出了一个改进的直方图均衡化图象增强算法。
This paper develops an image enhancement algorithm of histogram equalization.
该方法明显优于经典的同态增晰法和直方图均衡化。
The method is better than traditional homomorphic filtering and histogram equalization.
传统的直方图均衡方法不能很好地增强图像的局部细节。
The traditional histogram equalization method can not enhance the local details of the image.
在传统直方图均衡的基础上，提出一种增强牛肉图像直方图的改进算法。
An improved method for beef image histogram equalization is discussed in the paper.
运用直方图均衡化方法强化坡口与非坡口的差别，增加焊缝图像的理解性。
To better understanding the weld image, the histogram equalization method was used aiming at enlarging the difference between groove and other area.
上述定理应用于复杂背景下的路面检测，结合直方图均衡化算法消除背景噪声；
The method is used to detect actual complex surface, and denoise background noise combined with the histogram equilibrium algorithm.
在图像增强方面，尝试了直方图均衡化增强方法，并对其处理结果进行了分析。
The method of histogram equalization is attempted to used in the sonar image, and the result is analyzed.
其中图像预处理包括直方图均衡化、中值滤波、局部增强、同态滤波增强等工序；
The first stage is include image's gray numbers on average, image enhancing by average filter, part enhancing and enhancing by homeostasis filter.
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.
该段代码就是对直方图的各种处理，如，直方图生成直方图均衡化和直方图匹配。
When the code is to the histogram of processing, such as, histogram generation histogram equalization and histogram match.
具有基本功能：直方图均衡化、中值滤波、均值滤波、锐化、低通高通同态滤波。
Basic function: histogram equalization, median filtering, average filtering, sharpening, low-pass qualcomm homomorphic filtering.
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.
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.
光谱增强包括线性反差拉伸、非线性反差拉伸、直方图均衡化和直方图匹配等方法。
Spectral enhancement includes linear contrast stretch, non-linear contrast stretch, histogram equalization and histogram matching etc.
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.
现有的局部直方图均衡算法用于图像的对比度增强时，输出图像的亮度与输入图像无关。
As the traditional algorithms for local histogram equalization is used to enhance the contrast of an image, the output brightness is always regardless of the input image.
第三步，为了减轻光线不均匀对灰度图像造成的影响，对产品图像进行灰度直方图均衡；
Third, the gray-level histogram of image is equalized in order to reduce the influence of uneven light to the gray-level image.
目前对有雾图像的增强和恢复研究主要集中于局部直方图均衡化和大气散射模型两个方面。
Up to the present, the research on this subject mainly focuses on the local histogram equalization and atmospheric scattering model.
本文主要研究了局部直方图均衡化（LAHE）及其修正算法在尘肺X线图像增强中的应用。
This paper focuses on the study of Local Area Histogram Equalization (LAHE) and its applications in pneumoconiosis X-ray films enhancements.
本文提出了基于熵最大化和亮度保持的部分重叠的局部直方图均衡方法（局部BPHEME）。
This pa-per proposed a method which is partially overlapped local histogram equalization based on maximum entropy and brightness preserving(Local BPHEME).
针对彩色直方图均衡化算法颜色易失真的缺点，提出了一种基于暗原色先验的快速图像增强算法。
According to the disadvantage of color distortion of color histogram equalization algorithm, a new image enhancement algorithm based on dark channel prior is presented.
直方图均衡可以使图像灰度分布接近均匀，提高图像对比度，但图像的信息量会有一定程度的损失。
The histogram equalization can enhance the contrast by redistributing the gray levels, it has the drawback that it reduces the information in the processed image.
与传统直方图均衡化增强方法相比，该方法保留了较亮区域的视觉特性，且对噪声的增强相对较弱。
Compared with traditional histogram equalization method, the new algorithm not only reserves the visual characteristics of bright region but also brings relatively weak noise enhancement.
与传统直方图均衡化增强方法相比，该方法保留了较亮区域的视觉特性，且对噪声的增强相对较弱。
Compared with traditional histogram equalization method, the new algorithm not only reserved the visual characteristics of bright region, but also make noise enhancement relative weak.
与传统直方图均衡化增强方法相比，该方法保留了较亮区域的视觉特性，且对噪声的增强相对较弱。
Compared with traditional histogram equalization method, the new algorithm not only reserved the visual characteristics of bright region, but also make noise enhancement relative weak.
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