An improved method for beef image histogram equalization is discussed in the paper.
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。
Fundus image preprocessing system consists of Color image processing, image geometric transformation and the image histogram equalization, the image smooth and sharpen enhancement function.
眼底图像的预处理系统包括：彩色图像的处理、图像的几何变换以及图像的直方图均衡、图像的平滑化及锐化处理等增强功能。
Traditional histogram equalization and gray-scale transformation algorithms can't realize the enhancement of the target in the infrared image effectively.
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。
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.
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。
To better understanding the weld image, the histogram equalization method was used aiming at enlarging the difference between groove and other area.
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。
Histogram Equalization (he) as an image contrast enhancement technique is widely used. By improving the visual effect of images considerably, it assists the viewer in discovering hidden messages.
直方图均衡化(HE)是一种最常用的图像对比度增强技术，它能够在很大程度上增强图像的视觉效果，帮助人们识别图像中隐藏的信息。
The color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system.
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。
This paper mainly tells us the ways of image gray transformation, including linear gray transformation, nonlinear gray transformation and the approach of histogram equalization.
此文主要研究用于增强图像的灰度变换方法，包括线性灰度变换、非线性灰度变换与直方图均衡化方法。
The method of histogram equalization is attempted to used in the sonar image, and the result is analyzed.
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 traditional image enhancement approaches include gray-scale transformation, histogram modification, histogram equalization, image smoothing and Wiener filtration.
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。
Aiming at this problem, histogram equalization and gray stretch are used to enhance license plate image, and make the image clearer.
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。
This paper develops an image enhancement algorithm of histogram equalization.
给出了一个改进的直方图均衡化图象增强算法。
The traditional histogram equalization method can not enhance the local details of the image.
传统的直方图均衡方法不能很好地增强图像的局部细节。
According to the disadvantage of color distortion of color histogram equalization algorithm, a new image enhancement algorithm based on dark channel prior is presented.
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。
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.
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 region histogram equalization is different from traditional histogram modification technology, the idea is based on human vision character and edge effect in image vision.
区域间直方图均衡不同于传统的直方图修正技术，该思想是充分地考虑到人类的视觉特性和边缘在图像视觉中的作用而提出的。
A novel image enhancement technique suitable for low light level image, dualistic sub image enhancement based on two dimensional histogram analysis and histogram equalization, is presented.
提出了基于二维直方图分析的二元子图微光图像增强处理算法。
The use of image denoising, gray-scale transformation, histogram equalization, and uneven background correction techniques make the image more easily processed and analyzed.
采用图像去噪、灰度变换、直方图均衡化以及非均匀背景修正技术等提高了原始图像成分的清晰度，使图像变得更便于计算机分析和处理。
The use of image denoising, gray-scale transformation, histogram equalization, and uneven background correction techniques make the image more easily processed and analyzed.
采用图像去噪、灰度变换、直方图均衡化以及非均匀背景修正技术等提高了原始图像成分的清晰度，使图像变得更便于计算机分析和处理。
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