Erorr in Colored image segmentation code

#include <cv.h>
#include <highgui.h>
#include <cvaux.h>
#include <stdio.h>

const char *WIN1="Segmented";  // This will be the window name

IplImage* imagen;
IplImage* imagen_color;
IplImage* smooth;
IplImage* threshold;
IplImage* open_morf;
IplImage* blobResult;
IplImage* img_contornos;
CvMoments moments;
CvHuMoments humoments;
CvSeq* contour;
CvSeq* contourLow;

int main()
{
		
	/* Image PATH here */
	char* filename= "C:\\Users\\Mostafa\\Desktop\\Untitled.jpg";

	/* load image  in gray level */
	imagen = cvLoadImage(filename,0); // 0 value here is for gray

	/* to load the image in RGB ||  1 value here is for RGB */
	imagen_color = cvLoadImage(filename,1); // this colored image is the one to be display

	/* Creating the edited images: smooth, threshold and open_morf */
	smooth= cvCreateImage(cvSize(imagen->width, imagen->height), IPL_DEPTH_8U, 1);
	threshold= cvCreateImage(cvSize(imagen->width, imagen->height), IPL_DEPTH_8U, 1);
	open_morf= cvCreateImage(cvSize(imagen->width, imagen->height), IPL_DEPTH_8U, 1);
	
	//Initializaing the variables for countours
	contour = 0;
	contourLow = 0;

	//Create storage needed for contour detection
	CvMemStorage* storage = cvCreateMemStorage(0);

	//Creating window, WIN1 = "Segmented" the window name we described early in this code :1:
	cvNamedWindow(WIN1); // or cvNamedWindow(WIN1, 0) as u like


	//Smooth image
	cvSmooth(imagen, smooth, CV_GAUSSIAN, 3, 0, 0, 0);
	
	CvScalar avg;
	CvScalar avgStd;
	cvAvgSdv(smooth, &avg, &avgStd, NULL);
	

	//threshold image, this is an adaptive threshold
	cvThreshold(smooth, threshold, (int)avg.val[0]-7*(int)(avgStd.val[0]/8), 255, CV_THRESH_TOZERO_INV);
		//CV_THRESH_BINARY_INV);	/*_||_*/

	//Applying Morfologic filters
	cvErode(threshold, open_morf, NULL,1); 
	cvDilate(open_morf, open_morf, NULL,1); 

	//Duplicate image for countour
	img_contornos = cvCloneImage(open_morf);

	//Search countours in preprocesed image
	cvFindContours( img_contornos, storage, &contour, sizeof(CvContour),
			CV_RETR_EXTERNAL, CV_CHAIN_APPROX_SIMPLE, cvPoint(0, 0) );

	//Optimize contours, reduce points
	contourLow=cvApproxPoly(contour, sizeof(CvContour), storage,CV_POLY_APPROX_DP,1,1);
	

	//For each contour found
	for( ; contourLow != 0; contourLow = contourLow->h_next )
	{
		CvScalar color = CV_RGB( rand()&200, rand()&200, rand()&200 ); //Generate Random colors which is used to draw the rectangles around the letters

		//We can draw the contour of object
		cvDrawContours( imagen_color, contourLow, color, color, -1, 0, 8, cvPoint(0,0) );

		//Or detect bounding rect of contour	
		CvRect rect;
		CvPoint pt1, pt2;
		rect=cvBoundingRect(contourLow, NULL);
		pt1.x = rect.x;
        pt2.x = (rect.x+rect.width);
        pt1.y = rect.y;
        pt2.y = (rect.y+rect.height);

		cvRectangle(imagen_color, pt1,pt2, color, 1, 8, 0); //the rectangle is drawn on the Colored Image
		
		/*For calculate objects features we can use hu moments.
		this calculate 7 features that are independent of position, size and orientation*/

		//First calculate object moments
		cvMoments(contourLow, &moments, 0);

		//Now calculate hu moments
		cvGetHuMoments(&moments, &humoments);

	}

	cvShowImage(WIN1, imagen_color);
	cvWaitKey(0);

	/*
	//Main Loop
	for(;;) 
	{
		int c;

		c = cvWaitKey(10);
		if( (char) c == 27 )
			break;
		else if((char) c == '3')
			cvShowImage(WIN1, threshold);
		else if((char) c=='1')
			cvShowImage(WIN1, imagen);
		else if((char) c=='2')
			cvShowImage(WIN1, smooth);
		else if((char) c=='4')
			cvShowImage(WIN1, open_morf);
		else if((char) c=='r')
			cvShowImage(WIN1, imagen_color);

	}
	*/

	cvDestroyWindow(WIN1);
	//cvReleaseImage(&imagen_color); // optional :-)

	return 0;
}