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huiduzhuanhuan
- 一篇关于灰度转换的论文：该文介绍了用直方图均衡化对灰度图像进行灰度映射，从而达到使图像增强的目的。利用VC++6.0执行效率 高，可继承、封装、移植等成熟的软件技术，对直方图均衡化算法进行实现。实验表明，该程序可以快速、准确地对灰度图 像进行灰度变换，达到了使图像对比度增强，改善图像质量的预期目的。-On a gray-scale conversion of paper: This paper introduces the use of gray-scale histogram equa
image4
- 针对图像的灰度变换，阈值，直方图，线性灰度变化，灰度分布均衡化的程序。取自《vc++图像处理程序设计》第4章-For the image gray-scale transformation, threshold, histogram, linear gray scale, gray scale distribution of equalization process. Retrieved from " vc++ image processing program design,"
histogrammethod
- 直方图规定化 规定灰度为[zeros(1,49),0.1,zeros(1,49),0.2,zeros(1,49),0.3,zeros(1,49),0.1,zeros(1,49),0.2,zeros(1,49),0.1] 直方图均衡化，四邻域平均法，阈值平均法 加权平均法- Gray histogram specification provides for the [zeros (1,49), 0.1, zeros (1,49), 0.2, zeros (1,49), 0.3, zer
GUImatlab
- 基于GUI的图像处理软件平台的开发 五种常用的边缘检测、灰度直方图的显示、灰度直方图的均衡化、对比度自适应直方图的均衡化、图片的二值化以及彩色图片的灰度化-GUI-based image processing software platform of five commonly used edge detection, histogram display, gray histogram equalization, adaptive histogram equalization contrast,
junhenghua
- 关于图像的均衡化，绘制图像的灰度直方图，得到均衡化以后的图像-Equalization on the image and draw the image histogram, image obtained after equalization
Gray
- 包含了：图像灰度化、灰度比例化、灰度线性化、灰度线性载断、灰度取反、直方图均衡化、直方图规定化、灰度局部统计等-Includes: gray image, the ratio of gray, gray linear, linear set off gray, gray to take anti-, histogram equalization, histogram specification, local statistics, gray
his_equ
- 图像灰度直方图及均衡化，适用于LabView-The image histogram and equalization for LabView
4
- 找一幅曝光不足的灰度（或彩色图像），按照直方图均衡化方法进行处理-Underexposed to find a gray (or color image), according to the method of histogram equalization processing
lab1
- 画出输入彩色图像的灰度直方图，并实现图像均衡化-Draw the input color image histogram and Image equalization
Homework02
- 动态加载数字图像，进行彩图到灰度图像的转化，统计直方图，并进行直方图的均衡化-Digital Image Progress
Lab1
- 1.输入一张图片，输出其灰度直方图 2.用对话框实现输入线性函数，对原图像进行灰度拉伸 3.实现对图像的均衡化-1 Enter a picture, the output of its histogram 2 with a linear function of the input dialog box, the original image gray stretch 3 to achieve the equalization of the image
Hist
- 在查看菜单中可以做彩色图像和灰度图像的直方图、灰度化。首先打开一幅位图，然后点击查看—>灰度直方图—>均衡化，即可。-In the View menu, you can do color and grayscale image histogram, gray-scale. First, open a bitmap, and then click View-> Histogram-> equalization, you can.
zhifangtu
- 在对图像进行处理之前，了解图像整体或局部的灰度分布情况非常必要。对图像的灰度分布进行分析的重要手段就是建立图像的灰度直方图，利用图像灰度直方图，可以直观地看出图像中的像素亮度分布情况；通过直方图均衡化、匹配（规定化）等处理，可以对图像的质量进行调整。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 the image before treatment, understand the whole or local image of gray distribut
Gray-transform-program
- 用Vc实现的图像灰度变换程序，包括二值化，图像的阈值处理，基于窗口的灰度变换，灰度直方图，灰度均衡化等。-Using Vc realize image grey transformation of the program, including two threshold, the image threshold processing, based on the window shades of gray transform, grayscale histogram, gray equalizat
figure-process
- 希望显示的结果是四张图，第一张是原始图像 第二张是两张合成对比，上半部分是灰度图像，下半部分是中值滤波后的图像 第三张是两张合成对比，上半部分是灰度直方图，下半部分是均衡直方图 第四张式均衡化的图像。 -Want to show the results of the four Figure, the first is the original image is two synthetic contrast, the upper part of the gray-scale ima
3d038e63ede8
- MATLAB语言中图像数据与信息的读取方法,绘制灰度直方图的方法，理解灰度直方图的灰度变换及均衡化的方法。-MATLAB Image data and information to read, drawing gray histogram, Gray understanding of gray histogram equalization and transform the way.
bmp-process
- 数字图象处理算法的演示，包括：图象的DFT和逆DFT 图象的FFT和逆FFT；在图象中加入正弦噪声；图象的模板运算实现图象平滑和锐化；图象的直方图均衡化 • 图象的对比度拉伸 • 图象的中值滤波 • 图象灰度直方图的显示 • 若干频域滤波器 • 图象的镜像 • 图象的旋转（90度与任意角度） • 图象的放缩 • 其它小算法 -Demonstration of
first
- 读入彩色图片，将其转换成灰度图像，然后画出它的灰度直方图，将灰度值压缩到64-192，画出灰度直方图，最后画出直方图均衡化后的图像以及直方图-Read into a color picture, convert it to grayscale image, and then draw its gray level histogram, the gray value is compressed to 64-192, draw the gray histogram, and finally draw
chengxubiaozhunhua
- 汽车车牌识别，主要包括绘制灰度直方图，直方图均衡化，图像均衡化等预处理，车牌粗定位，车牌倾斜校正，定位车牌后的预处理，上下边框去除。-Car license plate recognition, including drawing gray histogram, histogram equalization, image preprocessing equalization, license plate coarse positioning plate tilt correction, posi
Images_processing2
- 使用MATLAB GUI用户界面实现对打开的图像进行灰度直方图、直方图均衡化、统计直方图（算法实现）、亮度和对比度调整（可设置大小）处理，并保存。-MATLAB GUI user interface to open image histogram, histogram equalization, the statistical histogram (algorithm), brightness and contrast adjustment (set size) processing, and