2D Features framework 4(Detecting corners location in subpixels )

目标

在本教程中,您将学习如何:

  • 使用OpenCV函数cv :: cornerSubPix来查找更精确的角点位置(比整数像素更精确)。

理论

程序

#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <iostream>
using namespace cv;
using namespace std;
Mat src, src_gray;
int maxCorners = 10;
int maxTrackbar = 25;
RNG rng(12345);
const char* source_window = "Image";
void goodFeaturesToTrack_Demo( int, void* );
int main( int argc, char** argv )
{
    CommandLineParser parser( argc, argv, "{@input | lena11.jpg | input image}" );
    src = imread( parser.get<String>( "@input" ) );
    if( src.empty() )
    {
        cout << "Could not open or find the image!\n" << endl;
        cout << "Usage: " << argv[0] << " <Input image>" << endl;
        return -1;
    }
    cvtColor( src, src_gray, COLOR_BGR2GRAY );
    namedWindow( source_window );
    createTrackbar( "Max corners:", source_window, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo );
    imshow( source_window, src );
    goodFeaturesToTrack_Demo( 0, 0 );
    waitKey();
    return 0;
}
void goodFeaturesToTrack_Demo( int, void* )
{
    maxCorners = MAX(maxCorners, 1);
    vector<Point2f> corners;
    double qualityLevel = 0.01;
    double minDistance = 10;
    int blockSize = 3, gradientSize = 3;
    bool useHarrisDetector = false;
    double k = 0.04;
    Mat copy = src.clone();
    goodFeaturesToTrack( src_gray,
                         corners,
                         maxCorners,
                         qualityLevel,
                         minDistance,
                         Mat(),
                         blockSize,
                         gradientSize,
                         useHarrisDetector,
                         k );
    cout << "** Number of corners detected: " << corners.size() << endl;
    int radius = 4;
    for( size_t i = 0; i < corners.size(); i++ )
    {
        circle( copy, corners[i], radius, Scalar(rng.uniform(0,255), rng.uniform(0, 256), rng.uniform(0, 256)), FILLED );
    }
    namedWindow( source_window );
    imshow( source_window, copy );
    Size winSize = Size( 5, 5 );
    Size zeroZone = Size( -1, -1 );
    //亚像素点检测。
    TermCriteria criteria = TermCriteria( TermCriteria::EPS + TermCriteria::COUNT, 40, 0.001 );
    //输入,输出,尺寸,零,准则
    cornerSubPix( src_gray, corners, winSize, zeroZone, criteria );
    for( size_t i = 0; i < corners.size(); i++ )
    {
        cout << " -- Refined Corner [" << i << "]  (" << corners[i].x << "," << corners[i].y << ")" << endl;
    }

}

说明

结果

2D Features framework 4(Detecting corners location in subpixels )