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Unhandled exception at imwrite(),findcontours() in visual studio 2008 with opencv 3.0.0 alpha version

Hi, I am using opencv 3.0.0 alpha advanced version in windows xp with visual studio 2008. In my project, while im working with imwrite() function and findcontours(), programme giving exception like " unhandled exception at location and access violation ".

So please give me solution to this.

Im getting iritation with this exception. Thank you.

Unhandled exception at imwrite(),findcontours() in visual studio 2008 with opencv 3.0.0 alpha version

Hi, I am using opencv 3.0.0 alpha advanced version in windows xp with visual studio 2008. In my project, while im working with imwrite() function and findcontours(), programme giving exception like " unhandled exception at location and access violation ".

So please give me solution to this.

Im getting iritation with this exception. this is my code.....

int main() { cv::Mat img = cv::imread("equation.jpg", 0); imshow("",img);waitKey(0);

//Apply blur to smooth edges and use adapative thresholding cv::Size size(3,3); cv::GaussianBlur(img,img,size,0); adaptiveThreshold(img, img,255,CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY,75,10); cv::bitwise_not(img, img);

cv::Mat img2 = img.clone();

std::vector<cv::point> points; cv::Mat_<uchar>::iterator it = img.begin<uchar>(); cv::Mat_<uchar>::iterator end = img.end<uchar>(); for (; it != end; ++it) if (*it) points.push_back(it.pos());

cv::RotatedRect box = cv::minAreaRect(cv::Mat(points));

double angle = box.angle; if (angle < -45.) angle += 90.;

cv::Point2f vertices[4]; box.points(vertices); for(int i = 0; i < 4; ++i) cv::line(img, vertices[i], vertices[(i + 1) % 4], cv::Scalar(255, 0, 0), 1, CV_AA);

cv::Mat rot_mat = cv::getRotationMatrix2D(box.center, angle, 1);

cv::Mat rotated; cv::warpAffine(img2, rotated, rot_mat, img.size(), cv::INTER_CUBIC);

cv::Size box_size = box.size; if (box.angle < -45.) std::swap(box_size.width, box_size.height); cv::Mat cropped;

cv::getRectSubPix(rotated, box_size, box.center, cropped); cv::imshow("Cropped", cropped);waitKey(0); imwrite("example5.jpg",cropped);////this is place my exception

Mat cropped2=cropped.clone();

cvtColor(cropped2,cropped2,CV_GRAY2RGB);

Mat cropped3 = cropped.clone(); cvtColor(cropped3,cropped3,CV_GRAY2RGB);

vector<vector<point> > contours; vector<vec4i> hierarchy;

// Find contours cv:: findContours( cropped, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_TC89_KCOS, Point(0, 0) );//this is place my exception

// Approximate contours to polygons + get bounding rects and circles vector<vector<point> > contours_poly( contours.size() ); vector<rect> boundRect( contours.size() ); vector<point2f>center( contours.size() ); vector<float>radius( contours.size() );

// Get poly contours for( int i = 0; i < contours.size(); i++ ) { approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true ); }

//Get only important contours, merge contours that are within another vector<vector<point> > validContours; for (int i=0;i<contours_poly.size();i++){< p=""> 

    Rect r = boundingRect(Mat(contours_poly[i]));
    if(r.area()<100)continue; 
    bool inside = false;
    for(int j=0;j<contours_poly.size();j++){
        if(j==i)continue;

        Rect r2 = boundingRect(Mat(contours_poly[j]));
        if(r2.area()<100||r2.area()<r.area())continue;
        if(r.x>r2.x&&r.x+r.width<r2.x+r2.width&&
            r.y>r2.y&&r.y+r.height<r2.y+r2.height){

            inside = true;
        }
    }
    if(inside)continue;
    validContours.push_back(contours_poly[i]);
}


//Get bounding rects
for(int i=0;i<validContours.size();i++){
    boundRect[i] = boundingRect( Mat(validContours[i]) );
}


//Display

Scalar color = Scalar(0,255,0); for( int i = 0; i< validContours.size(); i++ ) { if(boundRect[i].area()<100)continue; drawContours( cropped2, validContours, i, color, 1, 8, vector<vec4i>(), 0, Point() ); rectangle( cropped2, boundRect[i].tl(), boundRect[i].br(),color, 2, 8, 0 ); }

//imwrite("example6.jpg",cropped2); imshow("Contours",cropped2);

extractContours(cropped3,validContours);

cv::waitKey(0); return(0);

}

Thank you.

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No.3 Revision

updated 2014-09-25 06:12:50 -0600

berak gravatar image

Unhandled exception at imwrite(),findcontours() in visual studio 2008 with opencv 3.0.0 alpha version

Hi, I am using opencv 3.0.0 alpha advanced version in windows xp with visual studio 2008. In my project, while im working with imwrite() function and findcontours(), programme giving exception like " unhandled exception at location and access violation ".

So please give me solution to this.

Im getting iritation with this exception. this is my code.....

int main()
{
    cv::Mat img = cv::imread("equation.jpg", 0);
imshow("",img);waitKey(0);
 
imshow("",img);waitKey(0);

  //Apply blur to smooth edges and use adapative thresholding
   cv::Size size(3,3);
  cv::GaussianBlur(img,img,size,0);
   adaptiveThreshold(img, img,255,CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY,75,10);
  cv::bitwise_not(img, img);
 
img);


  cv::Mat img2 = img.clone();
 
std::vector<cv::point> img.clone();


  std::vector<cv::Point> points;
  cv::Mat_<uchar>::iterator it = img.begin<uchar>();
  cv::Mat_<uchar>::iterator end = img.end<uchar>();
  for (; it != end; ++it)
    if (*it)
      points.push_back(it.pos());
 
points.push_back(it.pos());

  cv::RotatedRect box = cv::minAreaRect(cv::Mat(points));
 
cv::minAreaRect(cv::Mat(points));

   double angle = box.angle;
  if (angle < -45.)
    angle += 90.;
 
90.;

  cv::Point2f vertices[4];
  box.points(vertices);
  for(int i = 0; i < 4; ++i)
    cv::line(img, vertices[i], vertices[(i + 1) % 4], cv::Scalar(255, 0, 0), 1, CV_AA);
 
CV_AA);



   cv::Mat rot_mat = cv::getRotationMatrix2D(box.center, angle, 1);
 
1);

   cv::Mat rotated;
  cv::warpAffine(img2, rotated, rot_mat, img.size(), cv::INTER_CUBIC);
 
cv::INTER_CUBIC);



  cv::Size box_size = box.size;
  if (box.angle < -45.)
    std::swap(box_size.width, box_size.height);
  cv::Mat cropped;
 
cropped;

  cv::getRectSubPix(rotated, box_size, box.center, cropped);
  cv::imshow("Cropped", cropped);waitKey(0);
  imwrite("example5.jpg",cropped);////this is place my exception
 
exception

    Mat cropped2=cropped.clone();

 
cvtColor(cropped2,cropped2,CV_GRAY2RGB);
 
cvtColor(cropped2,cropped2,CV_GRAY2RGB);

Mat cropped3 = cropped.clone();
cvtColor(cropped3,cropped3,CV_GRAY2RGB);
 
vector<vector<point> cvtColor(cropped3,cropped3,CV_GRAY2RGB);

 vector<vector<Point> > contours;
  vector<vec4i> hierarchy;
 
vector<Vec4i> hierarchy;

  // Find contours
  cv:: findContours( cropped, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_TC89_KCOS, Point(0, 0) );//this is place my exception
 
exception



  // Approximate contours to polygons + get bounding rects and circles
  vector<vector<point> vector<vector<Point> > contours_poly( contours.size() );
  vector<rect> vector<Rect> boundRect( contours.size() );
  vector<point2f>center( vector<Point2f>center( contours.size() );
  vector<float>radius( contours.size() );
 
);


  // Get poly contours
    for( int i = 0; i < contours.size(); i++ )
     { 
         approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
     }
 
}


  //Get only important contours, merge contours that are within another
  vector<vector<point> vector<vector<Point> > validContours;
    for (int i=0;i<contours_poly.size();i++){< p="">


i=0;i<contours_poly.size();i++){

        Rect r = boundingRect(Mat(contours_poly[i]));
     if(r.area()<100)continue; 
     bool inside = false;
     for(int j=0;j<contours_poly.size();j++){
         if(j==i)continue;

         Rect r2 = boundingRect(Mat(contours_poly[j]));
         if(r2.area()<100||r2.area()<r.area())continue;
         if(r.x>r2.x&&r.x+r.width<r2.x+r2.width&&
             r.y>r2.y&&r.y+r.height<r2.y+r2.height){

             inside = true;
         }
     }
     if(inside)continue;
     validContours.push_back(contours_poly[i]);
 }


 //Get bounding rects
 for(int i=0;i<validContours.size();i++){
     boundRect[i] = boundingRect( Mat(validContours[i]) );
 }


 //Display

 
 Scalar color = Scalar(0,255,0);
  for( int i = 0; i< validContours.size(); i++ )
     {
    if(boundRect[i].area()<100)continue;
      drawContours( cropped2, validContours, i, color, 1, 8, vector<vec4i>(), vector<Vec4i>(), 0, Point() );
       rectangle( cropped2, boundRect[i].tl(), boundRect[i].br(),color, 2, 8, 0 );
     }
 
}

  //imwrite("example6.jpg",cropped2);
  imshow("Contours",cropped2);
 
extractContours(cropped3,validContours);
 
imshow("Contours",cropped2);

  extractContours(cropped3,validContours);

  cv::waitKey(0);
return(0);
 
}
return(0);

}

Thank you.

Unhandled exception at imwrite(),findcontours() in visual studio 2008 with opencv 3.0.0 alpha version

Hi, I am using opencv 3.0.0 alpha advanced version in windows xp with visual studio 2008. In my project, while im working with imwrite() function and findcontours(), programme giving exception like " unhandled exception at location and access violation ".

So please give me solution to this.

Im getting iritation with this exception. this is my code.....

int 
include <cxcore.h>
 
include <highgui.h>
 
include <string>
 
include <iostream>
 
include <cv.h>
 
include "opencv2/objdetect/objdetect.hpp"
 
include "opencv2/highgui/highgui.hpp"
 
include "opencv2/imgproc/imgproc.hpp"
 
include "opencv2/core/core.hpp"
 
include <iostream>
 
include <windows.h>
 
ifdef _CH_
 
pragma package <opencv>
 
endif
 
ifndef _EiC
 
include "cv.h"
 
include "highgui.h"
 
include "ml.h"
 
include <stdio.h>
 
include <stdlib.h>
 
include <ctype.h>
 
endif
 
using namespace std;
using namespace cv;
 
void main()
{
    cv::Mat img = cv::imread("equation.jpg", cv::imread("D:\mahi images\equation.jpg", 0);
imshow("",img);waitKey(0);

  imshow("",img);waitKey(0);
 
//Apply blur to smooth edges and use adapative thresholding
   cv::Size size(3,3);
  cv::GaussianBlur(img,img,size,0);
   adaptiveThreshold(img, img,255,CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY,75,10);
  cv::bitwise_not(img, img);


  img);
 
cv::Mat img2 = img.clone();


  std::vector<cv::Point> img.clone();
 
std::vector<cv::point> points;
  cv::Mat_<uchar>::iterator it = img.begin<uchar>();
  cv::Mat_<uchar>::iterator end = img.end<uchar>();
  for (; it != end; ++it)
    if (*it)
      points.push_back(it.pos());

  points.push_back(it.pos());
 
cv::RotatedRect box = cv::minAreaRect(cv::Mat(points));

   cv::minAreaRect(cv::Mat(points));
 
double angle = box.angle;
  if (angle < -45.)
    angle += 90.;

  90.;
 
cv::Point2f vertices[4];
  box.points(vertices);
  for(int i = 0; i < 4; ++i)
    cv::line(img, vertices[i], vertices[(i + 1) % 4], cv::Scalar(255, 0, 0), 1, CV_AA);



   CV_AA);
 
cv::Mat rot_mat = cv::getRotationMatrix2D(box.center, angle, 1);

   1);
 
cv::Mat rotated;
  cv::warpAffine(img2, rotated, rot_mat, img.size(), cv::INTER_CUBIC);



  cv::INTER_CUBIC);
 
cv::Size box_size = box.size;
  if (box.angle < -45.)
    std::swap(box_size.width, box_size.height);
  cv::Mat cropped;

  cropped;
 
cv::getRectSubPix(rotated, box_size, box.center, cropped);
  cv::imshow("Cropped", cropped);waitKey(0);
  imwrite("example5.jpg",cropped);////this is place my exception

    imwrite("example5.jpg",cropped);
 
Mat cropped2=cropped.clone();
cvtColor(cropped2,cropped2,CV_GRAY2RGB);


 
cvtColor(cropped2,cropped2,CV_GRAY2RGB);
 
Mat cropped3 = cropped.clone();
cvtColor(cropped3,cropped3,CV_GRAY2RGB);

 vector<vector<Point> cvtColor(cropped3,cropped3,CV_GRAY2RGB);
 
vector<vector<point> > contours;
  vector<Vec4i> hierarchy;

  vector<vec4i> hierarchy;
 
// Find contours
  cv:: findContours( cropped, contours, hierarchy, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_TC89_KCOS, Point(0, 0) );//this is place my exception



  );
 
// Approximate contours to polygons + get bounding rects and circles
  vector<vector<Point> vector<vector<point> > contours_poly( contours.size() );
  vector<Rect> vector<rect> boundRect( contours.size() );
  vector<Point2f>center( vector<point2f>center( contours.size() );
  vector<float>radius( contours.size() );


  );
 
// Get poly contours
    for( int i = 0; i < contours.size(); i++ )
     { 
         approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
     }


  }
 
//Get only important contours, merge contours that are within another
  vector<vector<Point> vector<vector<point> > validContours;
    for (int i=0;i<contours_poly.size();i++){

    i=0;i<contours_poly.size();i++){< p="">


    Rect r = boundingRect(Mat(contours_poly[i]));
     if(r.area()<100)continue; 
     bool inside = false;
     for(int j=0;j<contours_poly.size();j++){
         if(j==i)continue;

         Rect r2 = boundingRect(Mat(contours_poly[j]));
         if(r2.area()<100||r2.area()<r.area())continue;
         if(r.x>r2.x&&r.x+r.width<r2.x+r2.width&&
             r.y>r2.y&&r.y+r.height<r2.y+r2.height){

             inside = true;
         }
     }
     if(inside)continue;
     validContours.push_back(contours_poly[i]);
 }


 //Get bounding rects
 for(int i=0;i<validContours.size();i++){
     boundRect[i] = boundingRect( Mat(validContours[i]) );
 }


 //Display
 
 
Scalar color = Scalar(0,255,0);
  for( int i = 0; i< validContours.size(); i++ )
     {
    if(boundRect[i].area()<100)continue;
      drawContours( cropped2, validContours, i, color, 1, 8, vector<Vec4i>(), vector<vec4i>(), 0, Point() );
       rectangle( cropped2, boundRect[i].tl(), boundRect[i].br(),color, 2, 8, 0 );
     }

  }
 
//imwrite("example6.jpg",cropped2);
  imshow("Contours",cropped2);

  extractContours(cropped3,validContours);

  cv::waitKey(0);
return(0);

}
imshow("Contours",cropped2);

extractContours(cropped3,validContours);

cv::waitKey(0);

}

Thank you.

Unhandled exception at imwrite(),findcontours() in visual studio 2008 with opencv 3.0.0 alpha version

Hi, I am using opencv 3.0.0 alpha advanced version in windows xp with visual studio 2008. In my project, while im working with imwrite() function and findcontours(), programme giving exception like " unhandled exception at location and access violation ".

So please give me solution to this.

Im getting iritation with this exception. this is my code.....

include <cxcore.h>

include <highgui.h>

include <string>

include <iostream>

include <cv.h>

include "opencv2/objdetect/objdetect.hpp"

include "opencv2/highgui/highgui.hpp"

include "opencv2/imgproc/imgproc.hpp"

include "opencv2/core/core.hpp"

include <iostream>

include <windows.h>

ifdef _CH_

pragma package <opencv>

endif

ifndef _EiC

include "cv.h"

include "highgui.h"

include "ml.h"

include <stdio.h>

include <stdlib.h>

include <ctype.h>

endif

using namespace std; using namespace cv;

void main() { cv::Mat img = cv::imread("D:\mahi images\equation.jpg", 0); imshow("",img);waitKey(0);

//Apply blur to smooth edges and use adapative thresholding 

    cv::Size size(3,3);
   cv::GaussianBlur(img,img,size,0);
    adaptiveThreshold(img, img,255,CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY,75,10);
   cv::bitwise_not(img, img);
 
img);

    cv::Mat img2 = img.clone();
 
std::vector<cv::point> img.clone();

    std::vector<cv::Point> points;
   cv::Mat_<uchar>::iterator it = img.begin<uchar>();
   cv::Mat_<uchar>::iterator end = img.end<uchar>();
   for (; it != end; ++it)
    if (*it)
      points.push_back(it.pos());
 
  points.push_back(it.pos());

    cv::RotatedRect box = cv::minAreaRect(cv::Mat(points));
 
cv::minAreaRect(cv::Mat(points));

    double angle = box.angle;
   if (angle < -45.)
    angle += 90.;
 
90.;

    cv::Point2f vertices[4];
   box.points(vertices);
   for(int i = 0; i < 4; ++i)
    cv::line(img, vertices[i], vertices[(i + 1) % 4], cv::Scalar(255, 0, 0), 1, CV_AA);
 
CV_AA);  

    cv::Mat rot_mat = cv::getRotationMatrix2D(box.center, angle, 1);
 
1);

    cv::Mat rotated;
   cv::warpAffine(img2, rotated, rot_mat, img.size(), cv::INTER_CUBIC);
 
cv::INTER_CUBIC);

    cv::Size box_size = box.size;
   if (box.angle < -45.)
    std::swap(box_size.width, box_size.height);
   cv::Mat cropped;
 
cropped;

    cv::getRectSubPix(rotated, box_size, box.center, cropped);
   cv::imshow("Cropped", cropped);waitKey(0);
  imwrite("example5.jpg",cropped);
 
  imwrite("example5.jpg",cropped);

Mat cropped2=cropped.clone();

 
cvtColor(cropped2,cropped2,CV_GRAY2RGB);
 
    cvtColor(cropped2,cropped2,CV_GRAY2RGB);

    Mat cropped3 = cropped.clone();
cvtColor(cropped3,cropped3,CV_GRAY2RGB);
 
vector<vector<point>     cvtColor(cropped3,cropped3,CV_GRAY2RGB);

    vector<vector<Point> > contours;
  vector<vec4i> hierarchy;
 
// Find contours
  vector<Vec4i> hierarchy;

    cv:: findContours( cropped, contours, hierarchy, CV_RETR_EXTERNAL,  CV_CHAIN_APPROX_TC89_KCOS, Point(0, 0) );
 
// Approximate contours to polygons + get bounding rects and circles
  vector<vector<point> );

    vector<vector<Point> > contours_poly( contours.size() );
  vector<rect>   vector<Rect> boundRect( contours.size() );
  vector<point2f>center(   vector<Point2f>center( contours.size() );
   vector<float>radius( contours.size() );
 
// Get poly contours
    );

for( int i = 0; i < contours.size(); i++ )
     { 
      approxPolyDP( Mat(contours[i]), contours_poly[i], 3, true );
     }
 
//Get only important contours, merge contours that are within another
  vector<vector<point> }


    vector<vector<Point> > validContours;
 for (int i=0;i<contours_poly.size();i++){< p="">


i=0;i<contours_poly.size();i++){   
    Rect r = boundingRect(Mat(contours_poly[i]));
    if(r.area()<100)continue; 
    bool inside = false;
    for(int j=0;j<contours_poly.size();j++){
        if(j==i)continue;

        Rect r2 = boundingRect(Mat(contours_poly[j]));
        if(r2.area()<100||r2.area()<r.area())continue;
        if(r.x>r2.x&&r.x+r.width<r2.x+r2.width&&
            r.y>r2.y&&r.y+r.height<r2.y+r2.height){

            inside = true;
        }
    }
    if(inside)continue;
    validContours.push_back(contours_poly[i]);
}


//Get bounding rects
for(int i=0;i<validContours.size();i++){
    boundRect[i] = boundingRect( Mat(validContours[i]) );
}


//Display

 
 Scalar color = Scalar(0,255,0);
   for( int i = 0; i< validContours.size(); i++ )
     {
     if(boundRect[i].area()<100)continue;
       drawContours( cropped2, validContours, i, color, 1, 8, vector<vec4i>(), vector<Vec4i>(), 0, Point() );
        rectangle( cropped2, boundRect[i].tl(), boundRect[i].br(),color, 2, 8, 0 );
     }
 
}

    //imwrite("example6.jpg",cropped2);
  imshow("Contours",cropped2);
 
extractContours(cropped3,validContours);
 
cv::waitKey(0);
  imshow("Contours",cropped2);

    extractContours(cropped3,validContours);

    cv::waitKey(0);

}

Thank you.

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