opencv/samples/cpp/tutorial_code/ImgTrans/generalizedHoughTransform.cpp

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/**
@file generalizedHoughTransform.cpp
@author Markus Heck
@brief Detects an object, given by a template, in an image using GeneralizedHoughBallard and GeneralizedHoughGuil.
*/
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
using namespace cv;
using namespace std;
int main() {
//! [generalized-hough-transform-load-and-setup]
// load source image and grayscale template
samples::addSamplesDataSearchSubDirectory("doc/tutorials/imgproc/generalized_hough_ballard_guil");
Mat image = imread(samples::findFile("images/generalized_hough_mini_image.jpg"));
Mat templ = imread(samples::findFile("images/generalized_hough_mini_template.jpg"), IMREAD_GRAYSCALE);
// create grayscale image
Mat grayImage;
cvtColor(image, grayImage, COLOR_RGB2GRAY);
// create variable for location, scale and rotation of detected templates
vector<Vec4f> positionBallard, positionGuil;
// template width and height
int w = templ.cols;
int h = templ.rows;
//! [generalized-hough-transform-load-and-setup]
//! [generalized-hough-transform-setup-parameters]
// create ballard and set options
Ptr<GeneralizedHoughBallard> ballard = createGeneralizedHoughBallard();
ballard->setMinDist(10);
ballard->setLevels(360);
ballard->setDp(2);
ballard->setMaxBufferSize(1000);
ballard->setVotesThreshold(40);
ballard->setCannyLowThresh(30);
ballard->setCannyHighThresh(110);
ballard->setTemplate(templ);
// create guil and set options
Ptr<GeneralizedHoughGuil> guil = createGeneralizedHoughGuil();
guil->setMinDist(10);
guil->setLevels(360);
guil->setDp(3);
guil->setMaxBufferSize(1000);
guil->setMinAngle(0);
guil->setMaxAngle(360);
guil->setAngleStep(1);
guil->setAngleThresh(1500);
guil->setMinScale(0.5);
guil->setMaxScale(2.0);
guil->setScaleStep(0.05);
guil->setScaleThresh(50);
guil->setPosThresh(10);
guil->setCannyLowThresh(30);
guil->setCannyHighThresh(110);
guil->setTemplate(templ);
//! [generalized-hough-transform-setup-parameters]
//! [generalized-hough-transform-run]
// execute ballard detection
ballard->detect(grayImage, positionBallard);
// execute guil detection
guil->detect(grayImage, positionGuil);
//! [generalized-hough-transform-run]
//! [generalized-hough-transform-draw-results]
// draw ballard
for (vector<Vec4f>::iterator iter = positionBallard.begin(); iter != positionBallard.end(); ++iter) {
RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]),
Size2f(w * (*iter)[2], h * (*iter)[2]),
(*iter)[3]);
Point2f vertices[4];
rRect.points(vertices);
for (int i = 0; i < 4; i++)
line(image, vertices[i], vertices[(i + 1) % 4], Scalar(255, 0, 0), 6);
}
// draw guil
for (vector<Vec4f>::iterator iter = positionGuil.begin(); iter != positionGuil.end(); ++iter) {
RotatedRect rRect = RotatedRect(Point2f((*iter)[0], (*iter)[1]),
Size2f(w * (*iter)[2], h * (*iter)[2]),
(*iter)[3]);
Point2f vertices[4];
rRect.points(vertices);
for (int i = 0; i < 4; i++)
line(image, vertices[i], vertices[(i + 1) % 4], Scalar(0, 255, 0), 2);
}
imshow("result_img", image);
waitKey();
//! [generalized-hough-transform-draw-results]
return EXIT_SUCCESS;
}