goodFeaturesToTrack.cpp

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#include "mexopencv.hpp"
#include "opencv2/imgproc.hpp"
using namespace std;
using namespace cv;

void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
    // Check the number of arguments
    nargchk(nrhs>=1 && (nrhs%2)==1 && nlhs<=1);

    // Argument vector
    vector<MxArray> rhs(prhs, prhs+nrhs);

    // Option processing
    int maxCorners = 1000;
    double qualityLevel = 0.01;
    double minDistance = 2.0;
    Mat mask;
    int blockSize = 3;
    int gradientSize = 3;
    bool useHarrisDetector = false;
    double k = 0.04;
    for (int i=1; i<nrhs; i+=2) {
        string key(rhs[i].toString());
        if (key == "MaxCorners")
            maxCorners = rhs[i+1].toInt();
        else if (key == "QualityLevel")
            qualityLevel = rhs[i+1].toDouble();
        else if (key == "MinDistance")
            minDistance = rhs[i+1].toDouble();
        else if (key == "Mask")
            mask = rhs[i+1].toMat(CV_8U);
        else if (key == "BlockSize")
            blockSize = rhs[i+1].toInt();
        else if (key == "GradientSize")
            gradientSize = rhs[i+1].toInt();
        else if (key == "UseHarrisDetector")
            useHarrisDetector = rhs[i+1].toBool();
        else if (key == "K")
            k = rhs[i+1].toDouble();
        else
            mexErrMsgIdAndTxt("mexopencv:error",
                "Unrecognized option %s", key.c_str());
    }

    // Process
    Mat image(rhs[0].toMat(rhs[0].isUint8() ? CV_8U : CV_32F));
    vector<Point2f> corners;
    goodFeaturesToTrack(image, corners, maxCorners, qualityLevel, minDistance,
        mask, blockSize, gradientSize, useHarrisDetector, k);
    plhs[0] = MxArray(corners);
}