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[OpenCV] Samples 04: contours2

时间:2016-11-26 21:04:36      阅读:263      评论:0      收藏:0      [点我收藏+]

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要先变为二值图像:cvThreshold

提取轮廓:cvFindContours

 

技术分享

 

#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 = 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

标签:alt   rom   and   i++   block   long   man   article   opencv2   

原文地址:http://www.cnblogs.com/jesse123/p/6104980.html

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