Implement histogram equalization as described in Algorithm 4.1.

实现直方图均衡化于算法4.1中描述。

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。

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。

The method is better than traditional homomorphic filtering and 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 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。

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。

VS2013 Opencv2.4.11 contour detection code, this code to join the gray-level histogram equalization processing.

详细说明： VS2013 Opencv2.4.11下轮廓检测代码，此代码加入灰度直方图均衡化处理。

When the code is to the histogram of processing, such as, histogram generation histogram equalization and histogram match.

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。

In another comparison testing focused, the performance of the adaptive histogram equalization method is similar improvement.

在另一公开对比测试集中，该方法的性能同样有相似的提高。

Basic function: histogram equalization, median filtering, average filtering, sharpening, low-pass qualcomm homomorphic filtering.

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。

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。

Up to the present, the research on this subject mainly focuses on the local histogram equalization and atmospheric scattering model.

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。

One method is derived from the histogram equalization technique and automatically determines the color spectra of geo- physical maps.

一种方法借鉴了直方图平滑化的思想，应用于位场彩色影像的色谱的自动确定。

Spectral enhancement includes linear contrast stretch, non-linear contrast stretch, histogram equalization and histogram matching etc.

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。

Fast algorithm for adaptive neighborhood gray-scale stretch histogram equalization method is proposed which can reduce operand greatly.

提出自适应邻域灰阶扩展直方图均衡法的快速算法，大大减小运算量，使其在临床上的应用成为可能。

This paper focuses on the study of Local Area Histogram Equalization (LAHE) and its applications in pneumoconiosis X-ray films enhancements.

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。

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。

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。

This pa-per proposed a method which is partially overlapped local histogram equalization based on maximum entropy and brightness preserving(Local BPHEME).

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）。

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 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。

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。

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.

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。

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。

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 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。

Then, in HSI space, the method based on adaptive histogram equalization (AHE) is introduced to adjust the saturation and intensity. And then, the contrast is regulated further.

在HSI空间中，采用自适应直方图均衡（AHE）方法实现了图像饱和度和亮度的调整，并进一步修正了图像的对比度。