从手中提取手指

时间:2013-12-12 18:59:23

标签: opencv computer-vision gesture-recognition convex-hull

当用户将手伸向相机时,我正在使用此代码* 提取手指 * s。

插入这些线以找到凸起后,抛出以下错误。

     if (contours[i].size() >3 )
       {
        cout<<"inside"<<endl;
        convexityDefects(contours[i], hull[i], defects[i]);
       }

错误是:

内部 OpenCV错误:断言失败(hull.checkVector(1,CV_32S)&gt; 2)在convexityDefects中,文件C:/slave/builds/WinInstallerMegaPack/src/opencv/modules/imgproc/src/contours.cpp,第1971行

此应用程序已请求Runtime以不寻常的方式终止它。                                                                              有关更多信息,请联系应用程序的支持团队。 在抛出'cv :: Exception'的实例后终止调用   what():C:/slave/builds/WinInstallerMegaPack/src/opencv/modules/imgproc/src/contours.cpp:1971:error:( - 1515)hull.checkVector(1,CV_32S)&gt; 2在函数convexityDefects

有人可以帮我解决这个问题吗?

代码:

 #include "opencv2/highgui/highgui.hpp"

 #include "opencv2/imgproc/imgproc.hpp"

 #include <iostream>

 #include <stdio.h>

 #include <stdlib.h>

 using namespace cv;
 using namespace std;

 Mat src; Mat src_gray;
 int thresh = 147;
 int max_thresh = 255;
 RNG rng(12345);

 /// Function header
 void thresh_callback(int, void* );

/** @function main */
int main( int argc, char** argv )
 {

   src = imread( "D:\\a.jpg", 1 );



   /// Convert image to gray and blur it
   resize(src,src,Size(640,480),0,0,INTER_LINEAR);
   cvtColor( src, src_gray, CV_BGR2GRAY );
   blur( src_gray, src_gray, Size(3,3) );

   /// Create Window
   char* source_window = "Knuckle Extractor";
   namedWindow( source_window, CV_WINDOW_AUTOSIZE );
   imshow( source_window, src );

//   createTrackbar( " Threshold:",  source_window, &thresh, max_thresh, thresh_callback );
   thresh_callback( 0, 0 );

   waitKey(0);
   return(0);
 }

 /** @function thresh_callback */
 void thresh_callback(int, void* )
 {
   Mat src_copy = src.clone();
   Mat threshold_output;
   vector<vector<Point> > contours;
   vector<Vec4i> hierarchy;

   /// Detect edges using Threshold
   threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY||CV_THRESH_OTSU );

  // imshow("Grey",src_gray);
   imshow("Threshold",threshold_output);

   /// Find contours
//   findContours( threshold_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
//findContours( threshold_output, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE, Point(0, 0) );
findContours( threshold_output, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, Point(0, 0));

   /// Find the convex hull object for each contour
   vector<vector<Point> >hull( contours.size() );
   vector<vector<Vec4i> >defects( contours.size() );

   for( int i = 0; i < contours.size(); i++ )
        {  
         convexHull( Mat(contours[i]), hull[i], false ); 
         if (contours[i].size() >3 )
           {
            cout<<"inside"<<endl;
            convexityDefects(contours[i], hull[i], defects[i]);
           }
        }



   /// Draw contours + hull results
   Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
   for( int i = 0; i< contours.size(); i++ )
      {
        Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
        drawContours( drawing, contours, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
       drawContours( drawing, hull, i, color, 1, 8, vector<Vec4i>(), 0, Point() );
      }

   /// Show in a window
   namedWindow( "Result", CV_WINDOW_AUTOSIZE );
   imshow( "Result", drawing );
 }

1 个答案:

答案 0 :(得分:3)

问题(或者至少是我能看到的主要问题)是你构建轮廓的方式。你应该使用:

vector<vector<int> >hull( contours.size() );

而不是:

vector<vector<Point> >hull( contours.size() );

这是因为convexityDefects函数仅适用于由一系列索引而不是一系列点表示的凸包。