mirror of https://github.com/opencv/opencv.git
tribta
7 years ago
parent
9ff33dacfc
commit
d99ced6ec8
8 changed files with 319 additions and 96 deletions
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After Width: | Height: | Size: 77 KiB |
@ -1,71 +0,0 @@ |
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#include "opencv2/imgcodecs.hpp" |
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#include "opencv2/highgui.hpp" |
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#include "opencv2/imgproc.hpp" |
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#include <iostream> |
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using namespace cv; |
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using namespace std; |
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static void help() |
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{ |
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cout << "\nThis program demonstrates circle finding with the Hough transform.\n" |
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"Usage:\n" |
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"./houghcircles <image_name>, Default is ../data/board.jpg\n" << endl; |
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} |
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int main(int argc, char** argv) |
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{ |
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cv::CommandLineParser parser(argc, argv, |
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"{help h ||}{@image|../data/board.jpg|}" |
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); |
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if (parser.has("help")) |
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{ |
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help(); |
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return 0; |
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} |
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//![load]
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string filename = parser.get<string>("@image"); |
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Mat img = imread(filename, IMREAD_COLOR); |
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if(img.empty()) |
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{ |
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help(); |
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cout << "can not open " << filename << endl; |
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return -1; |
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} |
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//![load]
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//![convert_to_gray]
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Mat gray; |
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cvtColor(img, gray, COLOR_BGR2GRAY); |
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//![convert_to_gray]
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//![reduce_noise]
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medianBlur(gray, gray, 5); |
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//![reduce_noise]
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//![houghcircles]
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vector<Vec3f> circles; |
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HoughCircles(gray, circles, HOUGH_GRADIENT, 1, |
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gray.rows/16, // change this value to detect circles with different distances to each other
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100, 30, 1, 30 // change the last two parameters
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// (min_radius & max_radius) to detect larger circles
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); |
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//![houghcircles]
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//![draw]
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for( size_t i = 0; i < circles.size(); i++ ) |
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{ |
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Vec3i c = circles[i]; |
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circle( img, Point(c[0], c[1]), c[2], Scalar(0,0,255), 3, LINE_AA); |
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circle( img, Point(c[0], c[1]), 2, Scalar(0,255,0), 3, LINE_AA); |
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} |
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//![draw]
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//![display]
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imshow("detected circles", img); |
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waitKey(); |
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//![display]
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return 0; |
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} |
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@ -0,0 +1,65 @@ |
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/**
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* @file houghcircles.cpp |
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* @brief This program demonstrates circle finding with the Hough transform |
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*/ |
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#include "opencv2/imgcodecs.hpp" |
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#include "opencv2/highgui.hpp" |
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#include "opencv2/imgproc.hpp" |
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using namespace cv; |
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using namespace std; |
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int main(int argc, char** argv) |
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{ |
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//![load]
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const char* filename = argc >=2 ? argv[1] : "../../../data/smarties.png"; |
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// Loads an image
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Mat src = imread( filename, IMREAD_COLOR ); |
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// Check if image is loaded fine
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if(src.empty()){ |
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printf(" Error opening image\n"); |
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printf(" Program Arguments: [image_name -- default %s] \n", filename); |
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return -1; |
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} |
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//![load]
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//![convert_to_gray]
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Mat gray; |
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cvtColor(src, gray, COLOR_BGR2GRAY); |
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//![convert_to_gray]
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//![reduce_noise]
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medianBlur(gray, gray, 5); |
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//![reduce_noise]
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//![houghcircles]
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vector<Vec3f> circles; |
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HoughCircles(gray, circles, HOUGH_GRADIENT, 1, |
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gray.rows/16, // change this value to detect circles with different distances to each other
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100, 30, 1, 30 // change the last two parameters
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// (min_radius & max_radius) to detect larger circles
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); |
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//![houghcircles]
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//![draw]
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for( size_t i = 0; i < circles.size(); i++ ) |
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{ |
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Vec3i c = circles[i]; |
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Point center = Point(c[0], c[1]); |
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// circle center
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circle( src, center, 1, Scalar(0,100,100), 3, LINE_AA); |
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// circle outline
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int radius = c[2]; |
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circle( src, center, radius, Scalar(255,0,255), 3, LINE_AA); |
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} |
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//![draw]
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//![display]
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imshow("detected circles", src); |
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waitKey(); |
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//![display]
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return 0; |
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} |
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After Width: | Height: | Size: 89 KiB |
@ -0,0 +1,77 @@ |
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package sample; |
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/** |
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* @file HoughCircles.java |
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* @brief This program demonstrates circle finding with the Hough transform |
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*/ |
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import org.opencv.core.*; |
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import org.opencv.core.Point; |
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import org.opencv.highgui.HighGui; |
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import org.opencv.imgcodecs.Imgcodecs; |
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import org.opencv.imgproc.Imgproc; |
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class HoughCirclesRun { |
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public void run(String[] args) { |
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//! [load]
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String default_file = "../../../../data/smarties.png"; |
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String filename = ((args.length > 0) ? args[0] : default_file); |
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// Load an image
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Mat src = Imgcodecs.imread(filename, Imgcodecs.IMREAD_COLOR); |
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// Check if image is loaded fine
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if( src.empty() ) { |
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System.out.println("Error opening image!"); |
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System.out.println("Program Arguments: [image_name -- default " |
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+ default_file +"] \n"); |
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System.exit(-1); |
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} |
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//! [load]
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//! [convert_to_gray]
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Mat gray = new Mat(); |
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Imgproc.cvtColor(src, gray, Imgproc.COLOR_BGR2GRAY); |
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//! [convert_to_gray]
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//![reduce_noise]
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Imgproc.medianBlur(gray, gray, 5); |
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//![reduce_noise]
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//! [houghcircles]
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Mat circles = new Mat(); |
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Imgproc.HoughCircles(gray, circles, Imgproc.HOUGH_GRADIENT, 1.0, |
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(double)gray.rows()/16, // change this value to detect circles with different distances to each other
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100.0, 30.0, 1, 30); // change the last two parameters
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// (min_radius & max_radius) to detect larger circles
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//! [houghcircles]
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//! [draw]
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for (int x = 0; x < circles.cols(); x++) { |
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double[] c = circles.get(0, x); |
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Point center = new Point(Math.round(c[0]), Math.round(c[1])); |
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// circle center
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Imgproc.circle(src, center, 1, new Scalar(0,100,100), 3, 8, 0 ); |
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// circle outline
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int radius = (int) Math.round(c[2]); |
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Imgproc.circle(src, center, radius, new Scalar(255,0,255), 3, 8, 0 ); |
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} |
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//! [draw]
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//! [display]
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HighGui.imshow("detected circles", src); |
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HighGui.waitKey(); |
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//! [display]
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System.exit(0); |
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} |
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} |
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public class HoughCircles { |
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public static void main(String[] args) { |
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// Load the native library.
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System.loadLibrary(Core.NATIVE_LIBRARY_NAME); |
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new HoughCirclesRun().run(args); |
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} |
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} |
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@ -0,0 +1,59 @@ |
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import sys |
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import cv2 |
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import numpy as np |
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def main(argv): |
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## [load] |
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default_file = "../../../../data/smarties.png" |
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filename = argv[0] if len(argv) > 0 else default_file |
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# Loads an image |
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src = cv2.imread(filename, cv2.IMREAD_COLOR) |
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# Check if image is loaded fine |
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if src is None: |
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print ('Error opening image!') |
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print ('Usage: hough_circle.py [image_name -- default ' + default_file + '] \n') |
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return -1 |
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## [load] |
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## [convert_to_gray] |
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# Convert it to gray |
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gray = cv2.cvtColor(src, cv2.COLOR_BGR2GRAY) |
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## [convert_to_gray] |
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## [reduce_noise] |
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# Reduce the noise to avoid false circle detection |
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gray = cv2.medianBlur(gray, 5) |
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## [reduce_noise] |
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## [houghcircles] |
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rows = gray.shape[0] |
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circles = cv2.HoughCircles(gray, cv2.HOUGH_GRADIENT, 1, rows / 8, |
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param1=100, param2=30, |
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minRadius=1, maxRadius=30) |
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## [houghcircles] |
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## [draw] |
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if circles is not None: |
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circles = np.uint16(np.around(circles)) |
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for i in circles[0, :]: |
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center = (i[0], i[1]) |
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# circle center |
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cv2.circle(src, center, 1, (0, 100, 100), 3) |
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# circle outline |
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radius = i[2] |
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cv2.circle(src, center, radius, (255, 0, 255), 3) |
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## [draw] |
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## [display] |
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cv2.imshow("detected circles", src) |
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cv2.waitKey(0) |
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## [display] |
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return 0 |
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if __name__ == "__main__": |
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main(sys.argv[1:]) |
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