samples/cpp/laplace.cpp

一个使用拉普拉斯变换进行边缘检测的示例

#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
 
#include <ctype.h>
#include <stdio.h>
#include <iostream>
 
using namespace cv;
using namespace std;
 
static void help(char** argv)
{
cout <<
            "\n此程序演示了使用OpenCV函数Laplacian()的点/边缘检测\n"
            "它会从您选择的摄像头捕获：0, 1, ... 默认为0\n"
            "Call:\n"
<< argv[0] << " -c=<摄像头编号，默认为0> -p=<要解码/捕获的下一帧的索引>\n" << endl;
}
 
enum {GAUSSIAN, BLUR, MEDIAN};
 
int sigma = 3;
int smoothType = GAUSSIAN;
 
int main( int argc, char** argv )
{
    cv::CommandLineParser parser(argc, argv, "{ c | 0 | }{ p | | }");
help(argv);
 
    VideoCapture cap;
    string camera = parser.get<string>("c");
    if (camera.size() == 1 && isdigit(camera[0]))
cap.open(parser.get<int>("c"));
    else
cap.open(samples::findFileOrKeep(camera));
    if (!cap.isOpened())
    {
cerr << "无法打开摄像头/视频流: " << camera << endl;
        return 1;
    }
cout << "视频 " << parser.get<string>("c") <<
        ": 宽度=" << cap.get(CAP_PROP_FRAME_WIDTH) <<
        ", 高度=" << cap.get(CAP_PROP_FRAME_HEIGHT) <<
        ", 帧数=" << cap.get(CAP_PROP_FRAME_COUNT) << endl;
    int pos = 0;
    if (parser.has("p"))
    {
pos = parser.get<int>("p");
    }
    if (!parser.check())
    {
parser.printErrors();
        return -1;
    }
 
    if (pos != 0)
    {
cout << "正在跳转到帧号 #" << pos << endl;
        if (!cap.set(CAP_PROP_POS_FRAMES, pos))
        {
cerr << "错误：跳转不支持" << endl;
        }
    }
 
    namedWindow("Laplacian", WINDOW_AUTOSIZE);
    createTrackbar("Sigma", "Laplacian", &sigma, 15, 0);
 
    Mat smoothed, laplace, result;
 
    for(;;)
    {
        Mat frame;
cap >> frame;
        if( frame.empty() )
            break;
 
        int ksize = (sigma*5)|1;
        if(smoothType == GAUSSIAN)
            GaussianBlur(frame, smoothed, Size(ksize, ksize), sigma, sigma);
        else if(smoothType == BLUR)
            blur(frame, smoothed, Size(ksize, ksize));
        else
            medianBlur(frame, smoothed, ksize);
 
        Laplacian(smoothed, laplace, CV_16S, 5);
        convertScaleAbs(laplace, result, (sigma+1)*0.25);
        imshow("Laplacian", result);
 
        char c = (char)waitKey(30);
        if( c == ' ' )
smoothType = smoothType == GAUSSIAN ? BLUR : smoothType == BLUR ? MEDIAN : GAUSSIAN;
        if( c == 'q' || c == 'Q' || c == 27 )
            break;
    }
 
    return 0;
}