Reputation: 543
I've been trying to load an image from camera but I face an error. I believe that findContours
function has got a problem. Here is the code:
#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 max_thresh = 255;
RNG rng(12345);
/// Function header
void thresh_callback(int, void* );
/** @function main */
int main( int argc, char** argv )
{
/// Load source image and convert it to gray
VideoCapture cap(1);
cap>>src;
/// Convert image to gray and blur it
cvtColor( src, src_gray, CV_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
/// Create Window
char* source_window = "Source";
namedWindow( source_window, CV_WINDOW_AUTOSIZE );
imshow( source_window, src );
thresh_callback( 0, 0 );
waitKey(0);
return(0);
}
/** @function thresh_callback */
void thresh_callback(int, void* )
{
Mat canny_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
/// Detect edges using canny
Canny( src_gray, canny_output, 100, 100*2, 3 );
/// Find contours
findContours( canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
/// Draw contours
Mat drawing = Mat::zeros( canny_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, 2, 8, hierarchy, 0, Point() );
}
/// Show in a window
namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
imshow( "Contours", drawing );
}
And here is the error:
Critical error detected c0000374 ConsoleApplication8.exe has triggered a breakpoint.
I would appreciate any help.
Upvotes: 1
Views: 836
Reputation: 500
I have had the same problem (or at least a similar one) with that function. I was not able to fix it, so I used the old C style cvFindContours function instead. I have included an example function in wich I used the cvFindContours function to clean up a blob image. This might not be the fastest solution, but at leas it works.
void filtBproject(Mat& Bproject){
Scalar color = CV_RGB(255,255,255); // text color
IplImage* BprojectIpl = &IplImage(Bproject);
CvMemStorage* storage = cvCreateMemStorage(0);
CvSeq* contours = 0;
int numCont = 0;
int contAthresh = 45;
numCont= cvFindContours( BprojectIpl, storage, &contours, sizeof(CvContour),
CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) );
cvSet(BprojectIpl, cvScalar(0,0,0));
for( ; contours != 0; contours = contours->h_next )
{
if ( (cvContourArea(contours, CV_WHOLE_SEQ) > contAthresh) ){
cvDrawContours( BprojectIpl, contours, color, color, -1, CV_FILLED, 8 );
}
}
}
Upvotes: 1
Reputation: 858
The exception could be thrown at Canny
calling .Canny can only take single channel image as input but you did not seemed to be make an attempt to make src_gray
as single channel after cvtColor
calling(cvtColor always give dst type same as src type unless specified).This could be problem for findContours
which will also only take single channelled 8 bit image
Upvotes: 0