weixin_43544406的博客

1.构造Mat:#include <stdio.h>#include<sstream>#include <string> #include <iostream> #include <cstdlib>#include <opencv2/core/core.hpp>#include<opencv2/highgui/highgui.hpp>using namespace std;using namespace

一.相机标定和校正本文利用张正友标定方法进行单目相机的标定，使用的是棋盘格标定板，当然也可以使用圆图案的标定板甚至是二维码图案。张正友标定原理详见：相机标定之张正友标定法数学原理详解的博客，该推导都是假设不存在畸变参数的情况下成立的，在此补充几点：1）上式中H是单应矩阵，H是齐次矩阵所以H33=1，此时有8个独立未知元素。每一个标定板角点可以提供两个约束方程，因此，当一张图片上的标定板角点数量等于4时，即可求得该图片对应的矩阵 。当一张图片上的标定板角点数量大于4时，利用最小二乘法回归最佳的矩阵。此

3.1.8输出图像：#include<opencv2/opencv.hpp>#include <stdio.h>#include<vector>using namespace cv;using namespace std;void createAlphaMat(Mat &mat){ for (int i = 0; i < mat.rows; ++i){ for (int j = 0; j < mat.cols; ++j){ V

10.1Harris角点检测#include<opencv2/highgui/highgui.hpp>#include<opencv2/imgproc/imgproc.hpp>#include<opencv2/opencv.hpp>#include<iostream>using namespace cv;using namespace std;int main(){ Mat srcImage = imread("ying.jpg", 0);/

9.2绘制H-S直方图#include<opencv2/highgui/highgui.hpp>#include<opencv2/imgproc/imgproc.hpp>#include<opencv2/opencv.hpp>#include<iostream>using namespace cv;using namespace std;int main(){ Mat srcImage, hsvImage; srcImage = imrea

8.4图像的矩：#include<opencv2/highgui/highgui.hpp>#include<opencv2/imgproc/imgproc.hpp>#include<opencv2/opencv.hpp>#include<iostream>using namespace cv;using namespace std;#define WINDOW_NAME1 "原始图窗口"#define WINDOW_NAME2 "效果图窗口"

8.13轮廓查找：#include<opencv2/highgui/highgui.hpp>#include<opencv2/imgproc/imgproc.hpp>#include<opencv2/opencv.hpp>using namespace cv;using namespace std;int main(int argc,char** argv){ Mat srcImage = imread("hehua.jpg", 0);//载入原图必须以二

7.3重映射：#include<opencv2/highgui/highgui.hpp>#include<opencv2/imgproc/imgproc.hpp>using namespace cv;using namespace std;int main(){ Mat srcImage, dstImage; Mat map_x, map_y; srcImage = imread("tsg.jpg",1); if (!srcImage.data) { printf

7.1.2opencv中调用Canny函数边缘检测：#include <opencv2\opencv.hpp>#include<opencv2/highgui/highgui.hpp>#include<opencv2/imgproc/imgproc.hpp>using namespace cv;int main(){ Mat img = imread("sg.jpg");//名为sg.jpg的图片一定要与.cpp文件同路径。 Mat src1 = img.

6.5，漫水填充#include<opencv2/core/core.hpp>#include <opencv2/highgui/highgui.hpp>#include<iostream>using namespace cv;using namespace std;#include <opencv2/imgproc/imgproc.hpp>//全局变量的声明Mat g_srcImage, g_dstImage,g_grayImage,g_ma

6.1线性滤波：方框滤波，均值滤波，高斯滤波综合实例：#include<opencv2/core/core.hpp>#include <opencv2/highgui/highgui.hpp>#include<iostream>using namespace cv;using namespace std;#include <opencv2/imgproc/imgproc.hpp>//全局变量的声明Mat g_srcImage, g_dstIma

5.2.3图片的ROI区域混合：#include<opencv2/opencv.hpp>#include <opencv2/highgui/highgui.hpp>using namespace cv;using namespace std;#include<iostream>bool ROI_LinearBlending();int main(){ system("color 5E"); if (ROI_LinearBlending()) {cou

5.2ROI区域图像叠加：#include<opencv2/opencv.hpp>#include <opencv2/highgui/highgui.hpp>using namespace cv;using namespace std;#include<iostream>bool ROI_AddImage();int main(){ system("color 5E"); if (ROI_AddImage()) {cout << "ROI

opencv3，编程入门4.3基本图形的绘制：#include<opencv2/core/core.hpp>#include <opencv2/highgui/highgui.hpp>#include<opencv2/imgproc/imgproc.hpp>using namespace cv;using namespace std;#include <iostream>#include <string>#define WINDOW

在图像中检测圆并指定圆心和半径的图像区域ROI(抠图)。# 加载环境包import cv2import numpy as npimport scipy.miscimport matplotlib.pyplot as pltfrom matplotlib.ticker import MultipleLocator# 图片简单处理img = cv2.imread('G:/Ubuntu/...