搜索资源列表
hist
- 该实验实现灰度图像的直方图均衡化，在空间域增强图像的灰度。-Experimental realization of the gray image histogram equalization, image enhancement in the spatial domain gray.
shiyan
- 给定一幅图象，输出其直方图； 通过对话框给定一个线性变换函数，实现图象的灰度拉伸； 实现对图象的均衡化。 -Given an image, the output of its histogram dialog given by a linear transformation function to realize the gray scale image stretching to achieve the equalization of image.
OpenCVtest2
- 利用opencv实现的图片读取以及灰度变换和直方图的绘制-Image loading,and historam drawing by opencv
processing
- 通过设计GUI界面，实现图像的读取、保存、灰度变化、直方图、多种增强、滤波，图像复原、多种边缘检测、图像放大、缩小等 -Through the design of GUI interfaces to achieve the image to read, save, gray change, histogram, a variety of enhancement, filtering, image restoration, multi-edge detection, image scaling
Gray
- VC6编写，包括彩色图像的灰度化，灰度线性截断，直方图均衡化、规定化等有关灰度操作。-VC6 preparation, including color images of the gray, gray linear intercept, histogram equalization, and other relevant provisions of the gray scale operation.
Histogram
- 用于对图像进行灰度变换、直方图均衡化以及线性扩展-For the image gray level transformation, histogram equalization, and linear expansion
Meanshif-Detection
- ：Mean—shift算法是一种非参数密度估计算法，可以实现快速的最优匹配，在目标的实时跟踪领域起着非常 重要的作用。为了有效的将Mean—shift算法应用到灰度图像中，采用了以方向直方图建立目标模型的策略，提出了在灰 度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明，该算法具有不受光照条件影响的优点，在低对比度的情 况下仍能实现稳定、实时的跟踪目标。-: Mean-shift algorithm is a nonparametric density estimat
image-process
- 一个数字图像处理的GUI,包括灰度变换,形态学操作,直方图阈值化等内容-A digital image processing, GUI, including gray scale transformation, morphological operations, histogram thresholding, etc.
imageprocess
- 该程序实现对图像的点运算，包含图像反色，线性变换，阈值变换，窗口变换，灰度拉伸，灰度均衡，以及直方图显示。-The program realization of the image point operations, including the anti-color image, linear transformation, threshold transform, the window transform, gray stretch, gray balance, and histogram d
histogram-equalization
- 直方图给出了一个简单可见的指示，可以用来判断一幅图像是否合理的利用了全部被允许的灰度级范围。一般一幅图应该利用全部或几乎全部可能的灰度级，否则等于增加了量化间隔。丢失的信息将不能恢复。-Histogram shows a simple visible indication, an image can be used to determine the reasonableness of the use of all the allowed range of gray levels. A map s
OTSU
- OTSU方法计算图像二值化的自适应阈值,算法对输入的灰度图像的直方图进行分析，将直方图分成两个部分，使得两部分之间的距离最大。划分点就是求得的阈值。 -OTSU method of adaptive image binarization threshold, the algorithm of the input histogram analysis of gray image, the histogram is divided into two parts, making the maxim
zhifangtu
- 可直接获取一幅灰度图的直方图，应用简单方便-Direct access to a grayscale histogram, the application is simple and convenient
facedetected
- visual c++ 实现人脸检测（二值化，灰度提取，直方图，边缘提取等）-visual c++ implementation of face detection (binary, gray scale extraction, histogram, edge extraction, etc.)
wangziwei10
- 实现彩图转灰度图，边缘检测，直方图均衡化等效果-Wallpapers turn to achieve grayscale, edge detection, histogram equalization and other effects
myReadBmp
- 用MFC讲位图进行直方图均衡的简单程序，能够对灰度图像进行直方图均衡，增强对比度。-Bitmap with MFC about a simple histogram equalization program
kantu
- 可以打开大部分图片格式包括bmp、jpg等，并对其进行图片的基本处理包括翻转、镜像、傅里叶变换、直方图统计及均衡化、锐化、柔化、加椒盐或高斯噪声、中值滤波、Sobel边缘检测、高斯边缘检测、灰度阀值边缘检测、区域生长、旋转、缩放等操作-Can open most image formats including bmp, jpg, etc., and its basic image processing including flip, mirror, Fourier transform, hist
DIP-ps
- 使用vs2010结合qt designer制作的图像处理软件，目前包含了灰度操作；直方图、通道图显示；实现了大津算法、最大熵算法和手动调整（单阈值、双阈值）的二值化操作；含几何操作；代数操作；使用卷积完成了roberts、sobel、prewitt三种算子的边缘检测，也可手动输入kernel；使用卷积完成了gaussian、median、mean三种算子的去噪功能，gaussian算子可手动输入sigma；同时采用workspace支持多文档打开，是一个photoshop的雏形。-Produce
PictureShow
- 图像处理,实现图像的灰度、直方图、算子均衡等功能。本文档由blog.shuku.asia提供，版权所有，下载仅供学习，不得发行传播。-Image processing, and grayscale images, histogram equalization operator functions. This document provided by the blog.shuku.asia, Copyright, downloading is for learning, not issue spr
tuxiangchuliheji
- 包括用C编写的直方图程序，边缘检测程序，不变距程序，灰度变换程序，膨胀腐蚀，物体测量，梯度算子和霍夫变换。-Including the use of C programs written in the histogram, edge detection procedure, unchanged from the procedure, gray-scale transformation procedure, dilation and erosion, object measurement, gra
Grayscale-correction
- 代码可以实现图像的灰度变换，以及直方图均衡算法进行灰度修正的代码，有用户界面。matlab实现的-Code can achieve the image gray-scale transformation, and the gray histogram equalization algorithm is modified code, a user interface. matlab implementation