libcvautomation/src/cva-match.c

/*
 * =====================================================================================
 *
 *       Filename:  cva-match.c
 *
 *    Description:  Match an image to its parent image, and return the coordinates
 *
 *        Version:  0.1
 *        Created:  06/20/2012
 *       Revision:  none
 *       Compiler:  gcc
 *
 *         Author:  Bradlee Speice, bspeice@uncc.edu
 *   Organization:  MOSAIC at University of North Carolina at Charlotte
 *
 * =====================================================================================
 */
#include <stdlib.h>
#include <stdio.h>
#include <unistd.h>
#include <getopt.h>
#include <limits.h>

#include "libcvautomation.h"

int main( int argc, char** argv )
{
	CvPoint result_point;
	result_point.x = result_point.y = 0;

	/* Set up everything for getopt */
	char *separator = ",";
	char *root_location = "root.png";
	char *sub_location = "sub.png";
	int threshold = INT_MAX;
	int search_method = CV_TM_SQDIFF;

	/* Start getopt */
	while (1)
	{
		static struct option long_options[] =
		{
				{"help",		no_argument,		0,	'h'},
				{"usage",		no_argument,		0,	'u'},
				{"root-image",	required_argument,	0,	'r'},
				{"sub-image",	required_argument,	0,	's'},
				{"separator",	required_argument,	0,	'p'},
				{"search-method",required_argument,	0,	'm'},
				{"threshold",	required_argument,	0,	't'},
				{0, 0, 0, 0}
		};

		int option_index = 0;
		opterr = 0;

		int c = getopt_long (argc, argv, "hur:s:p:m:t:",
							long_options, &option_index);

		/* We're done with parsing options */
		if (c == -1)
			break;

		switch (c)
		{
			case 0:
				break;

			case 'h':
				usage();
				break;

			case 'u':
				usage();
				break;

			case 'r':
				root_location = optarg;
				break;

			case 's':
				sub_location = optarg;
				break;

			case 'p':
				separator = optarg;
				break;

			case 'm':
				search_method = atoi(optarg);
				break;

			case 't':
				threshold = atoi(optarg);
				break;

			case '?':
				/* Error routine */
				break;

			default:
				fprintf( stderr, "Unknown option..." );
				exit(0);
		};
	}

	/* Use INT_MAX for the threshold, due to the way CV_TM_SQDIFF is calculated */
	result_point = matchSubImage_location( root_location, sub_location, search_method, threshold );

	if ( result_point.x != -1 && result_point.y != -1 )
		/* Output the match location */
		printf ("%i%s%i\n", result_point.x, separator, result_point.y );

	return 0;
}

/* 
 * ===  FUNCTION  ======================================================================
 *         Name:  usage
 *  Description:  I really shouldn't need to write this
 * =====================================================================================
 */
void usage ( )
{
	fprintf( stderr, "\n\
cva-match -r <root_image> -s <sub_image> \n\
\n\
This program uses OpenCV in order to recognize an image within an image.\n\
The return code is how many matches were found - return 0 for no matches,\n\
1 for one match, etc.\n\
\n\
Usage: \n\
\n\
\t-h, --help:\t\tDisplay this usage message.\n\
\t-u, --usage:\t\tDisplay this usage message.\n\
\t-r, --root-image:\tLocation of the root image to compare against.\n\
\t-s, --sub-image:\tLocation of the sub-image to find in root.\n\
\t-p, --separator:\tSeparator of the X and Y coordinates.\n\
\t-t, --threshold:\tSet how strict the match is - 50 is recommended lowest value.\n\
\t\t\t\tNote: When using CCORR or CCOEFF threshold works in opposite direction,\n\
\t\t\t\tso -50 is recommended highest value.\n\
\t-m, --search-method:\tSet which method is used to search for sub-images.\n\
\t\t\t\tMethods:\n\
\t\t\t\t\tCV_TM_SQDIFF = 0\n\
\t\t\t\t\tCV_TM_SQDIFF_NORMED = 1\n\
\t\t\t\t\tCV_TM_CCORR = 2\n\
\t\t\t\t\tCV_TM_CCORR_NORMED = 3\n\
\t\t\t\t\tCV_TM_CCOEFF = 4\n\
\t\t\t\t\tCV_TM_COEFF_NORMED = 5\n\
\n\
If you have any questions, comments, concerns, email bspeice@uncc.edu\n" );

	exit (0);

}		/* -----  end of function usage  ----- */