//**************************************************************************
//
//      CSE 486 Project #2
//      By Anirudh Modi (anirudh@bart.aero.psu.edu) on 3/8/99-Mon
//	 & Jim Geis (geis@cse.psu.edu)
//	 & Howard Elikan (elikan@cse.psu.edu)
//
//**************************************************************************
//	Running time of algorithm -> O[width x height]
//**************************************************************************
// 	Have implemented the following ->
//		1. Smoothening of histogram to determine minima/maxima
//		2. Basic image operations (+, -, =)
//		3. Morphological Operators [NEW]
//		4. Image Filters [NEW]
//**************************************************************************
#include <iostream.h>
#include <fstream.h>
#include <stdio.h>
#include <string.h>
#include <math.h>
#include "image.h"
//**************************************************************************
int main (int argc, char *argv[])
{
if (argc != 2) 
	{
	 cerr << "Syntax: " << argv[0] << " <pbm-image-file>" << endl;
	 exit(-1);
	}

GrayImage image;
char name[50];

image.ReadFromFile(argv[1]);		// Read the image file

//image.MeanFilterNxN ( 5 );		// For cupnoise.pgm
//image.ClosingNxN ( 7 );		// For cupnoise.pgm

//image.Threshold(90);		// For cupnoise.pgm

int GrayScale = 1;		// 1 for GrayScale and 0 for Binary

if (!GrayScale)
	{
	 image.ConvertToBinary( );
	 image.LabelComponents( );
	}

//image.ClosingNxN ( 3 );		// For match1.dat
image.Skeletonization ( );		// For match1.dat

sprintf(name,"%s.out",argv[1]);
if (!GrayScale)
	image.WriteLabelsToFile(name);
else
	image.WriteToFile(name);
}
//**************************************************************************