Unhandled exception using cvCanny

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I am implementing cvCanny for a segmetation/edge detection project for my image processing class. The program runs multiple segmentation algorithms via command line arguments, and passes the input image to the corresponding algorithm via IplImage*. You can see in the code below, I am taking the pointer passed to the function, and creating a local copy to do the work on.

void CannyEdgeSeg (IplImage * image, int)

{ const char* name = "Edge Detection Window"; // Kernel size int N = 7;

// Set up images
IplImage* img;
img = cvCloneImage(image);
IplImage* img_b = cvCreateImage( cvSize(img->width+N-1,img->height+N-1), img->depth, img->nChannels );
IplImage* out = cvCreateImage( cvGetSize(img_b), IPL_DEPTH_8U, img_b->nChannels );


// Add convolution boarders
CvPoint offset = cvPoint((N-1)/2,(N-1)/2);
cvCopyMakeBorder(img, img_b, offset, IPL_BORDER_REPLICATE, cvScalarAll(0));

// Make window
cvNamedWindow( name, 1 );

// Edge Detection Variables
int aperature_size = N;
double lowThresh = 20;
double highThresh = 40;

// Create trackbars
cvCreateTrackbar( "High", name, &high_switch_value, 4, switch_callback_h );
cvCreateTrackbar( "Low", name, &low_switch_value, 4, switch_callback_l );

switch_callback_h(0);
switch_callback_l(0);

for(;;) {
    switch( highInt ){
        case 0:
            highThresh = 200;
            break;
        case 1:
            highThresh = 400;
            break;
        case 2:
            highThresh = 600;
            break;
        case 3:
            highThresh = 800;
            break;
        case 4:
            highThresh = 1000;
            break;
    }
    switch( lowInt ){
        case 0:
            lowThresh = 0;
            break;
        case 1:
            lowThresh = 100;
            break;
        case 2:
            lowThresh = 200;
            break;
        case 3:
            lowThresh = 400;
            break;
        case 4:
            lowThresh = 600;
            break;
    }

    // Edge Detection
    cvCanny( img_b, out, lowThresh*N*N, highThresh*N*N, aperature_size );
    cvShowImage(name, out);

    if( cvWaitKey( 15 ) == 27 ) 
        break;
}

// Release
cvReleaseImage( &img );
cvReleaseImage( &img_b );
cvReleaseImage( &out );
cvDestroyWindow( name );

};

However, with this methodology, I get this error once it tries to run cvCanny:

Unhandled exception at 0x000007fefd899e5d in Project2.exe: Microsoft C++ exception: cv::Exception at memory location 0x0012f630..

But, if I explicitly call the image to read in my function, rather than using the passed image,

 IplImage* img = cvLoadImage("fruits.jpg", 0);

the application runs just fine.

I don't understand why it would matter if the image is passed or called explicitly in the function. I was able to usethis exact same method, creating a clone of the passed image, in my other segmentation algorightms without any issues. Is there something specific to cvCanny that I am miss? Any help here would be greatly appreciated. Thanks.