图片腐蚀

#include <iostream>
#include "opencv2/core.hpp"
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include<opencv2/imgproc/imgproc.hpp>
using namespace std;
using namespace cv;
int main(int argc, char** argv)
{
    //载入原图
    Mat srcImage = imread("E:\\opencv test image\\a.jpg");
    //显示原图
    imshow("原图", srcImage);
    //进行腐蚀操作
    Mat element = getStructuringElement(MORPH_RECT, Size(15, 15));
    Mat dstImage;
    erode(srcImage, dstImage, element);
    //显示效果
    imshow("腐蚀操作", dstImage);
    while (1) {
        waitKey(0);
    }
    return 0;
}

图像模糊

#include <iostream>
#include "opencv2/core.hpp"
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include<opencv2/imgproc/imgproc.hpp>
using namespace std;
using namespace cv;
int main(int argc, char** argv)
{
    //载入原图
    Mat srcImage = imread("E:\\opencv test image\\a.jpg");
    //显示原图
    imshow("原图", srcImage);
    //进行滤波操作
    Mat dstImage;
    blur(srcImage, dstImage, Size(7, 7));
    //显示效果
    imshow("均值滤波", dstImage);
    while (1) {
        waitKey(0);
    }
    return 0;
}

canny边缘检测

#include <iostream>
#include "opencv2/core.hpp"
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include<opencv2/imgproc/imgproc.hpp>
using namespace std;
using namespace cv;
int main(int argc, char** argv)
{
    //载入原图
    Mat srcImage = imread("E:\\opencv test image\\a.jpg");
    //显示原图
    imshow("原图", srcImage);
    Mat dstImage, edge, grayImage;
    //创建与src同类型和大小的矩阵
    dstImage.create(srcImage.size(), srcImage.type());
    //将原图像转换为灰度图像
    cvtColor(srcImage, grayImage, COLOR_BGR2GRAY);
    blur(grayImage, edge, Size(3, 3));
    Canny(edge, edge, 3, 9, 3);
    imshow("Canny边缘检测", edge);
    while (1) {
        waitKey(0);
    }
    return 0;
}

视频读取

#include <iostream>
#include "opencv2/core.hpp"
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include<opencv2/opencv.hpp>
#include<opencv2/imgproc/imgproc.hpp>
using namespace std;
using namespace cv;
int main(int argc, char** argv)
{
    //读取视频
    VideoCapture capture("1.avi");
    //循环显示每一帧
    while (1) {
        Mat frame;
        capture >> frame;
        imshow("读取视频", frame);
        waitKey(30);
    }
    while (1) {
        waitKey(0);
    }
    return 0;
}

调用摄像头采集图像

#include <iostream>
#include "opencv2/core.hpp"
#include <opencv2/imgcodecs.hpp>
#include <opencv2/highgui.hpp>
#include<opencv2/opencv.hpp>
#include<opencv2/imgproc/imgproc.hpp>
using namespace std;
using namespace cv;
int main(int argc, char** argv)
{
    //从摄像头读入视频
    VideoCapture capture(0);
    Mat edges;
    //循环显示每一帧
    while (1) {
        Mat frame;
        capture >> frame;
        //转换为灰度图像
        cvtColor(frame, edges, CV_BGR2GRAY);
        //使用3*3内核降噪2*3+1=7
        blur(edges, edges, Size(7, 7));
        //进行canny边缘检测后并显示
        Canny(edges, edges, 0, 30, 3);
        imshow("canny后的视频", edges);
        waitKey(30);
    }
    while (1) {
        waitKey(0);
    }
    return 0;
}