HoughCircles.cpp

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

namespace {
const ConstMap<string,int> HoughModesMap = ConstMap<string,int>
    ("Standard",      cv::HOUGH_STANDARD)
    ("Probabilistic", cv::HOUGH_PROBABILISTIC)
    ("MultiScale",    cv::HOUGH_MULTI_SCALE)
    ("Gradient",      cv::HOUGH_GRADIENT);
}

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);

    Mat image(rhs[0].toMat(CV_8U));

    // Option processing
    int method = cv::HOUGH_GRADIENT;
    double dp = 1;
    double minDist = image.rows/8;
    double param1 = 100;  // cannyThreshold
    double param2 = 100;  // accumulatorThreshold
    int minRadius = 0;
    int maxRadius = 0;
    for (int i=1; i<nrhs; i+=2) {
        string key(rhs[i].toString());
        if (key == "Method")
            method = HoughModesMap[rhs[i+1].toString()];
        else if (key == "DP")
            dp = rhs[i+1].toDouble();
        else if (key == "MinDist")
            minDist = rhs[i+1].toDouble();
        else if (key == "Param1")
            param1 = rhs[i+1].toDouble();
        else if (key == "Param2")
            param2 = rhs[i+1].toDouble();
        else if (key == "MinRadius")
            minRadius = rhs[i+1].toInt();
        else if (key == "MaxRadius")
            maxRadius = rhs[i+1].toInt();
        else
            mexErrMsgIdAndTxt("mexopencv:error",
                "Unrecognized option %s", key.c_str());
    }

    // Process
    vector<Vec3f> circles;
    HoughCircles(image, circles, method, dp, minDist,
        param1, param2, minRadius, maxRadius);
    plhs[0] = MxArray(circles);
}