int determine_optimal_threshold( CvHistogram* hist )
{

	// TO DO:  Given a 1-D CvHistogram you need to determine and return the optimal threshold value.

	// NOTES:  Assume there are 256 elements in the histogram.
	//         To get the histogram value at index i
	//            int histogram_value_at_i = ((int) *cvGetHistValue_1D(hist, i));

	int threshold = 127;
	int thresh2 = 0;

	while(threshold != thresh2){
		double background1= 1;
		double background2= 1;
		double front1=1;
		double front2=1;
		int i = 0;
		for (int i=0;i<256;i++){
			int histogram_value_at_i = ((int) *cvGetHistValue_1D(hist,i));
			//work with the foreground
			if(i > threshold){
				front2 = front2 + (i*histogram_value_at_i);
				front1 = front1 + histogram_value_at_i;
			}
			else
			{
			//else were working with the background
				background2 = background2 + (i*histogram_value_at_i);
				background1 = background1 + histogram_value_at_i;
			}
		}

		background2 = (double)background2/ (double)background1;
		front2 = (double)front2/(double)front1;
		thresh2 = threshold;
		threshold = (int)(((double)background2 + (double)front2)/2);
		printf("\nTOTAL_THRESH:  %d",threshold);

	}


	printf("\nOptimal Threshold is : %d ", threshold);
	return threshold;  // Just so that the project will compile...
}