opencv/samples/cpp/connected_components.cpp

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#include <opencv2/core/utility.hpp>
#include "opencv2/imgproc.hpp"
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#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
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#include <iostream>
using namespace cv;
using namespace std;
Mat img;
int threshval = 100;
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static void on_trackbar(int, void*)
{
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Mat bw = threshval < 128 ? (img < threshval) : (img > threshval);
Mat labelImage(img.size(), CV_32S);
int nLabels = connectedComponents(bw, labelImage, 8);
std::vector<Vec3b> colors(nLabels);
colors[0] = Vec3b(0, 0, 0);//background
for(int label = 1; label < nLabels; ++label){
colors[label] = Vec3b( (rand()&255), (rand()&255), (rand()&255) );
}
Mat dst(img.size(), CV_8UC3);
for(int r = 0; r < dst.rows; ++r){
for(int c = 0; c < dst.cols; ++c){
int label = labelImage.at<int>(r, c);
Vec3b &pixel = dst.at<Vec3b>(r, c);
pixel = colors[label];
}
}
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imshow( "Connected Components", dst );
}
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static void help()
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{
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cout << "\n This program demonstrates connected components and use of the trackbar\n"
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"Usage: \n"
" ./connected_components <image(stuff.jpg as default)>\n"
"The image is converted to grayscale and displayed, another image has a trackbar\n"
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"that controls thresholding and thereby the extracted contours which are drawn in color\n";
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}
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const char* keys =
{
"{@image|stuff.jpg|image for converting to a grayscale}"
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};
int main( int argc, const char** argv )
{
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help();
CommandLineParser parser(argc, argv, keys);
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string inputImage = parser.get<string>(0);
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img = imread(inputImage.c_str(), 0);
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if(img.empty())
{
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cout << "Could not read input image file: " << inputImage << endl;
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return -1;
}
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namedWindow( "Image", 1 );
imshow( "Image", img );
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namedWindow( "Connected Components", 1 );
createTrackbar( "Threshold", "Connected Components", &threshval, 255, on_trackbar );
on_trackbar(threshval, 0);
waitKey(0);
return 0;
}