首页 > 代码库 > [OpenCV] Samples 04: contours2
[OpenCV] Samples 04: contours2
要先变为二值图像:cvThreshold
提取轮廓:cvFindContours
#include "opencv2/imgproc/imgproc.hpp"#include "opencv2/highgui/highgui.hpp"#include <math.h>#include <iostream>using namespace cv;using namespace std;static void help(){ cout << "\nThis program illustrates the use of findContours and drawContours\n" << "The original image is put up along with the image of drawn contours\n" << "Usage:\n" << "./contours2\n" << "\nA trackbar is put up which controls the contour level from -3 to 3\n" << endl;}const int w = 500;int levels = 3;vector<vector<Point> > contours;vector<Vec4i> hierarchy;static void on_trackbar(int, void*){ Mat cnt_img = Mat::zeros(w, w, CV_8UC3); int _levels = levels - 3; drawContours( cnt_img, contours, _levels <= 0 ? 3 : -1, Scalar(128,255,255), 3, LINE_AA, hierarchy, std::abs(_levels) ); imshow("contours", cnt_img);}int main( int argc, char** argv){ cv::CommandLineParser parser(argc, argv, "{help h||}"); if (parser.has("help")) { help(); return 0; }// Mat img = Mat::zeros(w, w, CV_8UC1); //Jeff --> we don‘t need to draw this by ourselves. //Draw 6 faces// for( int i = 0; i < 6; i++ )// {// int dx = (i%2)*250 - 30;// int dy = (i/2)*150;// const Scalar white = Scalar(255);// const Scalar black = Scalar(0);// if( i == 0 )// {// for( int j = 0; j <= 10; j++ )// {// double angle = (j+5)*CV_PI/21;// line(img, Point(cvRound(dx+100+j*10-80*cos(angle)),// cvRound(dy+100-90*sin(angle))),// Point(cvRound(dx+100+j*10-30*cos(angle)),// cvRound(dy+100-30*sin(angle))), white, 1, 8, 0);// }// }// ellipse( img, Point(dx+150, dy+100), Size(100,70), 0, 0, 360, white, -1, 8, 0 );// ellipse( img, Point(dx+115, dy+70), Size(30,20), 0, 0, 360, black, -1, 8, 0 );// ellipse( img, Point(dx+185, dy+70), Size(30,20), 0, 0, 360, black, -1, 8, 0 );// ellipse( img, Point(dx+115, dy+70), Size(15,15), 0, 0, 360, white, -1, 8, 0 );// ellipse( img, Point(dx+185, dy+70), Size(15,15), 0, 0, 360, white, -1, 8, 0 );// ellipse( img, Point(dx+115, dy+70), Size(5,5), 0, 0, 360, black, -1, 8, 0 );// ellipse( img, Point(dx+185, dy+70), Size(5,5), 0, 0, 360, black, -1, 8, 0 );// ellipse( img, Point(dx+150, dy+100), Size(10,5), 0, 0, 360, black, -1, 8, 0 );// ellipse( img, Point(dx+150, dy+150), Size(40,10), 0, 0, 360, black, -1, 8, 0 );// ellipse( img, Point(dx+27, dy+100), Size(20,35), 0, 0, 360, white, -1, 8, 0 );// ellipse( img, Point(dx+273, dy+100), Size(20,35), 0, 0, 360, white, -1, 8, 0 );// } Mat img = imread("/home/unsw/lolo.jpg"); Mat gray; cvtColor(img, gray, COLOR_RGB2GRAY ); Mat binary; threshold(gray, binary, 200,255,THRESH_BINARY); // (1) Pic One Show: show the faces namedWindow( "image", 1 ); imshow( "image", binary ); // (2) Pic Two Show //Extract the contours so that vector<vector<Point> > contours0; findContours( binary, contours0, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE); contours.resize(contours0.size()); for( size_t k = 0; k < contours0.size(); k++ ) approxPolyDP(Mat(contours0[k]), contours[k], 3, true); // Jeff --> the same name to bind window and trackbar together. // qt qml to draw would be much better. // callback: on_trackbar() namedWindow( "contours", 1 ); createTrackbar( "levels+3", "contours", &levels, 7, on_trackbar ); on_trackbar(0,0); waitKey(); return 0;}
Reference: http://blog.csdn.net/felix86/article/details/38121959
采用cvFindContours提取轮廓,并过滤掉小面积轮廓,最后将轮廓保存。
1 static int getContoursByCplus(char* Imgname, double minarea, double whRatio) 2 { 3 cv::Mat src, dst, canny_output; 4 /// Load source image and convert it to gray 5 src = http://www.mamicode.com/imread(Imgname, 0); 6 7 if (!src.data) 8 { 9 std::cout << "read data error!" << std::endl; 10 return -1; 11 } 12 blur(src, src, Size(3, 3)); 13 14 15 //the pram. for findContours, 16 vector<vector<Point> > contours; 17 vector<Vec4i> hierarchy; 18 19 /// Detect edges using canny 20 Canny(src, canny_output, 80, 255, 3); 21 /// Find contours 22 findContours(canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0)); 23 //CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE 24 25 double maxarea = 0; 26 int maxAreaIdx = 0; 27 28 for (int i = 0; i<contours.size(); i++) 29 { 30 31 double tmparea = fabs(contourArea(contours[i])); 32 if (tmparea>maxarea) 33 { 34 maxarea = tmparea; 35 maxAreaIdx = i; 36 continue; 37 } 38 39 if (tmparea < minarea) 40 { 41 // *** 删除面积小于设定值的轮廓 42 contours.erase(contours.begin() + i); 43 std::wcout << "delete a small area" << std::endl; 44 continue; 45 } 46 //计算轮廓的直径宽高 47 Rect aRect =boundingRect(contours[i]); 48 if ((aRect.width / aRect.height)<whRatio) 49 { 50 // *** 删除宽高比例小于设定值的轮廓 51 contours.erase(contours.begin() + i); 52 std::wcout << "delete a unnomalRatio area" << std::endl; 53 continue; 54 } 55 } 56 /// Draw contours,彩色轮廓 57 dst= Mat::zeros(canny_output.size(), CV_8UC3); 58 for (int i = 0; i< contours.size(); i++) 59 { 60 //随机颜色 61 Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255)); 62 drawContours(dst, contours, i, color, 2, 8, hierarchy, 0, Point()); 63 } 64 // Create Window 65 char* source_window = "countors"; 66 namedWindow(source_window, CV_WINDOW_NORMAL); 67 imshow(source_window, dst); 68 cv:; waitKey(0); 69 70 return 0; 71 }
[OpenCV] Samples 04: contours2
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