Open Source Computer Vision Library https://opencv.org/
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#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>
using namespace cv;
using namespace std;
int main()
{
Mat lines;
vector<Vec3d> line3d;
vector<Point2f> point;
const static float Points[20][2] = {
{ 0.0f, 369.0f }, { 10.0f, 364.0f }, { 20.0f, 358.0f }, { 30.0f, 352.0f },
{ 40.0f, 346.0f }, { 50.0f, 341.0f }, { 60.0f, 335.0f }, { 70.0f, 329.0f },
{ 80.0f, 323.0f }, { 90.0f, 318.0f }, { 100.0f, 312.0f }, { 110.0f, 306.0f },
{ 120.0f, 300.0f }, { 130.0f, 295.0f }, { 140.0f, 289.0f }, { 150.0f, 284.0f },
{ 160.0f, 277.0f }, { 170.0f, 271.0f }, { 180.0f, 266.0f }, { 190.0f, 260.0f }
};
for (int i = 0; i < 20; i++)
{
point.push_back(Point2f(Points[i][0],Points[i][1]));
}
double rhoMin = 0.0f, rhoMax = 360.0f, rhoStep = 1;
double thetaMin = 0.0f, thetaMax = CV_PI / 2.0f, thetaStep = CV_PI / 180.0f;
HoughLinesPointSet(point, lines, 20, 1,
rhoMin, rhoMax, rhoStep,
thetaMin, thetaMax, thetaStep);
lines.copyTo(line3d);
printf("votes:%d, rho:%.7f, theta:%.7f\n",(int)line3d.at(0).val[0], line3d.at(0).val[1], line3d.at(0).val[2]);
}