直方图均衡化

本文首先对木材X射线图像进行直方图均衡化、滤波、图像增强等预处理，使得处理后的图像的效果更佳，更便于后续的处理和分析。

Firstly , preprocessed the wood X-ray images , the methods included histogram equalization , smooth filtering , image enhancement and so on .

基于直方图均衡化的Harris角点检测算法

Harris Corner Detection Algorithm Based on Image Histogram Equalization

对于直方图均衡化方式，研究了全局直方图均衡化方式和局部直方图均衡化的三种方式，对这三种方式进行matlab仿真。

The histogram equalization method , the paper studies the global histogram equalization method and local histogram equalization in three ways , according to the three ways for matlab simulation .

在预处理阶段，首先对图像进行了光照补偿和直方图均衡化处理，因为主分量分析（PCA）方法对光照很敏感。

In the stage of image pre-processing , lighting compensation and hist equality are done first because that PCA method is sensitive to illumination .

通过结合使用FPGA设计中的IP宏功能模块，用Veriloghdl语言在FPGA平台上实现了红外图像的自适应平台直方图均衡化算法和快速中值滤波算法，并最终编程下载到FPGA平台上进行测试验证。

The adaptive plateau histogram equalization algorithm and quick median filtering algorithm of infrared image are realized on FPGA platform using Verilog HDL . IP micro function module .

图像预处理中，介绍了常用的图像优化方法，采用了基于K均值聚类的分段直方图均衡化算法。

In image pre-processing part , introduce several commonly used methods to optimize image and use an image enhancement algorithm based on separate ( subsection ) histogram equalization and K - means clustering algorithm .

方法：利用Matlab工具箱函数，采用灰度直方图均衡化和灰度直方图规定化的方法对一幅X线图像进行增强处理，并比较它们的增强效果。

METHODS : Two processing methods , the gray-level histogram equalization and the gray-level histogram regulation , were applied to enhance an X-ray image and their enhancement effects were compared by using Matlab toolbox functions .

其次提出了一种新的多尺度对数Lee图像增强算法，并将其与局部受限的直方图均衡化结合形成了改进的图像去雾算法。

Then , a novel algorithm of the multi-scale logarithm Lee image enhancement is proposed , and combined with contrast limited local histogram equalization method to recover the haze images .

采用小波变换增强图像细节的方法，根据图像特点，同时结合对比度自适应直方图均衡化或（和）自适应滤波去噪法，对10位早期周围型肺癌患者的50张CT图像进行增强。

50 CT images of 10 patents with early-stage peripheral lung cancers were enhanced by wavelet transform combining with contrast-limited adaptive histogram equalization ( clear ) or ( anda ) daptive filter noise removal depending on the image characteristics .

基于上述验证方案，本文研究并对比分析了直方图均衡化、直方图规定化、Gamma灰度校正、自商图像、相位图、相对梯度、对数边缘图等预处理方法。

Based on the scheme proposed above , we studied and compared histogram equalization , histogram specification , Gamma intensity correction , self-quotient image , phase image , relative gradients and logarithmic edges .

在FPGA系统上，采用自适应直方图均衡化图像增强处理后，图像视觉效果明显改善，对比度增强，成像效果理想，达到了本文的研究目的。

In the FPGA system , after image enhancement processing of adaptive histogram equalization , the images are improved significantly , such as in visual images , contrast enhancement . The results achieve the purpose of this article .

最后针对这一课题编写了基于FPGA的两点校正、两点加一点校正、全局非均匀校正算法和红外图像直方图均衡化增强程序，并对三种校正方法做了比较。

Contraposed to this study , this paper finally programmed two-point correction , two-point plus one-point correction , full-scale non-uniformity correction and infrared image histogram equalization enhancement using FPGA , and it also compared these three correction methods .

通过MeanShift方法对图像进行平滑，然后利用直方图均衡化进行图像增强，为其后的最大熵分割提供更适宜的条件，以得到更好的分割结果。

Images are smoothed by using the Mean Shift algorithm , and histogram equalization is performed on the smoothed images for enhancement . These steps result in images that are suitable for the afterward maximum entropy segmentation , and better segmentation can be achieved .

采用中值滤波、直方图均衡化和双Gamma校正算法解决了图像采集过程中由天气情况和外界环境影响导致的颜色失真问题。

By median filtering , histogram equalization and double Gamma correction algorithm to solve the problem of color distortion from the impact of weather conditions and the external environment in the image acquisition process . 2 .

设计采用直方图均衡化算法、中值滤波算法、Sobel锐化算法来改善图像质量。

This system uses three main algorithms that are Histogram modification and median filter and Sobel edge sharping algorithms to improve the quality of the image .

文中首先介绍了数字图像处理的相关知识及基本算法，并使用Verilog硬件描述语言实现了直方图均衡化、中值滤波、卷积运算、边缘检测和小波变换等基本算法的逻辑设计。

Then the logic design of some basic algorithms , such as histogram equalization , median filter , convolution , edge detection and wavelet transform are implemented using the Verilog hardware description language .

在分析直方图均衡化、同态滤波和基于小波变换的同态滤波等算法的基础上，改进了小波同态滤波算法，并将其应用到HSI彩色空间。

The paper studies the theories of histogram equalization , homomorphic filtering and wavelet-based homomorphic filtering , then improves method of homomorphic filtering based on wavelets and applies it to HSI color space .

然后用直方图均衡化、中心化等方法使得最终的图像具有相同的灰度均值和方差。（2）把独立成分分析算法引入到表情识别领域中，提出了基于ICA的人脸表情识别算法。

Histogram equalization is used to make all the cropped pictures have the same variance . Secondly , we introduce the basic theory of Independent Component Analysis ( ICA ) in detail , and present an algorithm based on ICA .

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 .

本文研究并对比分析了直方图均衡化、直方图规定化、Gamma灰度校正、非线性变换方法-Log和Exp等光照预处理方法；采用了自商图像的光照预处理方法，并取得了良好的效果。

It studies and comparative analyses pre-processing methods of the histogram equalization , histogram of the provisions , Gamma gray calibration and non-linear transformation methods such as Log and Exp transformations . This article adopts self-quotient image method in the illumination pre-treatment problem , and has achieved good results .

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 .

直方图均衡化算法和图像灰度拉伸算法是两种不同的空间域图像增强算法。

Both histogram and gray strech are Space domain enhancement algorithms .

采用直方图均衡化方法对表情图像进行光照补偿，以减少图像间的灰度差异。

Histogram equalization is used to reduce the difference of illumination .

对于图像增强主要分析了灰度级调整和直方图均衡化两种方法。

T he gray scale adjustment and histogram equalization are analyzed .

此外在图像预处理部分提出了一种改进的直方图均衡化算法。

We give an improved histogram equalization algorithm for image enhancement together .

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 .

利用单映射法改善图像直方图均衡化的精度

SML Leads to Improving Accuracy of Histogram Equilibrium of Image

通常的直方图均衡化规则精度较低。

The accuracy of current histogram equilibrium law is lower .

一个基于概率的数字图像直方图均衡化新方法

A New Method Based on Probability for Histogram Equalization

一种改善直方图均衡化精度的方法

A New Method of improving accuracy of histogram equilibrium