chamfer例程中断问题

zfeng

小白求助。
今天尝试了opencv里面自带的chamfermatch函数，一直出现问题。
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/contrib/contrib.hpp"

#include <iostream>

using namespace cv;
using namespace std;

static void help()
{

   cout << "\nThis program demonstrates Chamfer matching -- computing a distance between an \n"
            "edge template and a query edge image.\n"
            "Usage: \n"
            "./chamfer <image edge map> <template edge map>,"
            " By default the inputs are logo_in_clutter.png logo.png\n";
}

const char* keys =
{
    "{1| |logo_in_clutter.png|image edge map    }"
    "{2| |logo.png               |template edge map}"
};

int main( int argc, const char** argv )
{

    help();
    CommandLineParser parser(argc, argv, keys);

    string image = parser.get<string>("1");
    string templ = parser.get<string>("2");
    Mat img = imread(image.c_str(), 0);
    Mat tpl = imread(templ.c_str(), 0);

    if (img.empty() || tpl.empty())
    {
        cout << "Could not read image file " << image << " or " << templ << "." << endl;
        return -1;
    }
    Mat cimg;
    cvtColor(img, cimg, COLOR_GRAY2BGR);

    // if the image and the template are not edge maps but normal grayscale images,
    // you might want to uncomment the lines below to produce the maps. You can also
    // run Sobel instead of Canny.

     Canny(img, img, 5, 50, 3);
    // Canny(tpl, tpl, 5, 50, 3);

    vector<vector<oint> > results;
    vector<float> costs;
    int best = chamerMatching( img, tpl, results, costs );
    if( best < 0 )
    {
        cout << "matching not found" << endl;
        return -1;
    }

    size_t i, n = results[best].size();
    for( i = 0; i < n; i++ )
    {
        Point pt = results[best];
        if( pt.inside(Rect(0, 0, cimg.cols, cimg.rows)) )
           cimg.at<Vec3b>(pt) = Vec3b(0, 255, 0);
    }

    imshow("result", cimg);

    waitKey();

    return 0;
}

F:\QQ截图20170407104928.jpg

zfeng

F:\QQ截图20170407104928.jpg

zfeng

smallyouyou

zfeng 发表于 2017-4-7 11:07

試試這個範例

1. #include "opencv2/highgui/highgui.hpp"
   
2. #include "opencv2/imgproc/imgproc.hpp"
   
3. #include <iostream>
   
4. #include <stdio.h>
   
5. 
   
6. using namespace std;
   
7. using namespace cv;
   
8. 
   
9. /// Global Variables
   
10. Mat img; Mat templ; Mat result;
    
11. char* image_window = "Source Image";
    
12. char* result_window = "Result window";
    
13. 
    
14. int match_method;
    
15. int max_Trackbar = 5;
    
16. 
    
17. /// Function Headers
    
18. void MatchingMethod( int, void* );
    
19. 
    
20. /** @function main */
    
21. int main( int argc, char** argv )
    
22. {
    
23.   /// Load image and template
    
24.   img = imread( "1.jpg", 1 );
    
25.   templ = imread( "1t.jpg", 1 );
    
26. 
    
27.   /// Create windows
    
28.   namedWindow( image_window, CV_WINDOW_AUTOSIZE );
    
29.   namedWindow( result_window, CV_WINDOW_AUTOSIZE );
    
30. 
    
31.   /// Create Trackbar
    
32.   char* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED";
    
33.   createTrackbar( trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod );
    
34. 
    
35.   MatchingMethod( 0, 0 );
    
36. 
    
37.   waitKey(0);
    
38.   return 0;
    
39. }
    
40. 
    
41. /**
    
42. * @function MatchingMethod
    
43. * @brief Trackbar callback
    
44. */
    
45. void MatchingMethod( int, void* )
    
46. {
    
47.   /// Source image to display
    
48.   Mat img_display;
    
49.   img.copyTo( img_display );
    
50. 
    
51.   /// Create the result matrix
    
52.   int result_cols =  img.cols - templ.cols + 1;
    
53.   int result_rows = img.rows - templ.rows + 1;
    
54. 
    
55.   result.create( result_rows, result_cols, CV_32FC1 );
    
56. 
    
57.   /// Do the Matching and Normalize
    
58.   matchTemplate( img, templ, result, match_method );
    
59.   normalize( result, result, 0, 1, NORM_MINMAX, -1, Mat() );
    
60. 
    
61.   /// Localizing the best match with minMaxLoc
    
62.   double minVal; double maxVal; Point minLoc; Point maxLoc;
    
63.   Point matchLoc;
    
64. 
    
65.   minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() );
    
66. 
    
67.   /// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better
    
68.   if( match_method  == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED )
    
69.     { matchLoc = minLoc; }
    
70.   else
    
71.     { matchLoc = maxLoc; }
    
72. 
    
73.   /// Show me what you got
    
74.   rectangle( img_display, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
    
75.   rectangle( result, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
    
76. 
    
77.   imshow( image_window, img_display );
    
78.   imshow( result_window, result );
    
79. 
    
80.   return;
    
81. }
    

复制代码

zfeng

smallyouyou 发表于 2017-4-7 15:19
試試這個範例

好的，谢谢大神。我试试

zfeng

smallyouyou 发表于 2017-4-7 15:19
試試這個範例

大神，这个例程是模板匹配的。我想知道的是如何用chamfermatch这个函数。用了opencv sample文件里面的例子去尝试，但是历程跑不通。

zfeng

zfeng

h ttps://github.com/zfxxfeng/picture/blob/master/chamfer.zip?raw=true

项目工程文件

smallyouyou

zfeng 发表于 2017-4-7 15:28

http://answers.opencv.org/question/52460/chamfer-matching/
好像有人是說函式本身有bug存在在chamfermatching.cpp中註解掉delete templates;這行看看，

1. ~Matching()
   
2. {
   
3.     for (size_t i = 0; i<templates.size(); i++) {
   
4.         //delete templates[i];
   
5.     }
   
6. }

复制代码

並重新編譯，你可以試試

zfeng

smallyouyou 发表于 2017-4-7 15:52
http://answers.opencv.org/question/52460/chamfer-matching/
好像有人是說函式本身有bug存在在chamferma ...

大神，注释了之后依旧是7楼图片那样的中断。而且这个注释掉的语句是match类的析构函数。感觉不是这里的问题。大神方便的话8楼那个网址的工程下载跑一下看看。这个是opencv的例程。不知道会不会因为我自己的操作问题而出错。能不能帮我验证一下。