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基于opencv2.2的大津法分割
- 基于opencv2.2的大津法分割，大津法是一种自适应的阈值分割方法，应用较广，按灰度特性，将图像分为背景和目标两部分，是二值化的图像。本代码需要先行安装opencv2.2-The Otsu method based opencv2.2 split, Otsu method is an adaptive thresholding method, used widely, according to the gray-scale features, the image is divided into
GrayMatrix
- Visual C++ 实现的灰度共生矩阵-The Visual C++ implementation GLCM
MFC-GrayProcessing
- 在MFC框架下基于OpenCV的灰度图像处理技术源码-Based on the OpenCV MFC gray processing the source code
xxxshubiao
- 一个非常效率很高的识别图像中任意点的R，G，B像素值和灰度值化后灰度值的完整算法，大部分代码写在了一个类中-A very high efficiency of the identification image of an arbitrary point of R, G, and B pixel values and gray scale value after the gradation value of the complete algorithm, most of
grayImage
- sample source code for gray image histogram in opencv visual c-sample source code for gray image histogram in opencv visual c++
Gray-Image-brightness-enhancement
- 灰度图像的亮度增强源代码，希望大家有用，欢迎下载-The brightness of the gray image enhanced source code
daima
- 显示彩色图像的三个通道的灰色直方图,显示图像的三个通道， 屏蔽两个通道， 显示三个通道分别显示， 显示感兴趣的区域ROI，共5段代码 -Shows three-channel color image gray histogram displays three channels of the image, shielding the two channels, shows three channels are displayed, the display area of ̴
RgbHist
- RGB直方图计算，并比较两幅图片的匹配程度，如需比较，需要屏蔽部分代码（已标出），选择灰度或其他通道。-RGB histogram computation, the degree of match and compare the two pictures, if you need more, need to shield part of the code (marked), choose the gray or other channels.
imagestable
- 一个简单的基于图像灰度投影的电子稳像code，通过openCV在vs2010上实现-Based on a simple projection of the image gray electronic image stabilization code, by openCV implemented on vs2010
opencv2411Contour-detection
- 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。 -VS2013 Opencv2.4.11 contour detection code, this code to join the gray-level histogram equalization processing.
Histogram
- 直方图灰度处理及边缘检测代码,能显示出GRB三通道的直方图和进行三种算子检测-Gray histogram and edge detection code, can show a histogram GRB three channels and three operators were detected
lanedetection
- 这个基于视频的车道线检测代码，包括了图像灰度化，图像去噪声，然后检测车道线-The video-based lane detection code, including a gray image, image de-noising and then detecting the lane line