opencv_processing_hough_circles_example.pde

opencv_processing_hough_circles_example.pde

import gab.opencv.*;
import org.opencv.imgproc.Imgproc;
import org.opencv.core.Mat;

OpenCV opencv;
PImage src;

ArrayList<Circle> circles;

void setup(){
  src = loadImage("cans.jpg");
  src.resize(800,0);
  opencv = new OpenCV(this, src);
 
   
   size(opencv.width, opencv.height);

  circles = new ArrayList<Circle>();   
}

void draw(){
  opencv.loadImage(src);
//  opencv.setROI(mouseX, mouseY, 90, 100);
//  opencv.threshold(190);
  
  image(opencv.getOutput(),0,0);
  noFill();
  stroke(0,255,0);
  strokeWeight(3);
  for(Circle circle : circles){
    circle.draw();
  }
}

void keyPressed(){
  findCircles();
}

void findCircles(){
  Mat cs = new Mat();
  println("find hough circles");
  Imgproc.HoughCircles(opencv.getGray(), cs, Imgproc.CV_HOUGH_GRADIENT, opencv.getGray().rows()/20, 50);
  
  println();
  
  for(int i = 0; i < cs.cols(); i++){
    println(i);
    circles.add(new Circle((float)cs.get(0,i)[0], (float)cs.get(0,i)[1], (float)cs.get(0,i)[2]));
  }

  
  println(cs.cols() + "x" + cs.rows());
  
}