libcvautomation/src/cva-match.c

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2012-06-20 16:57:03 -04:00
/*
* =====================================================================================
*
* 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 "cv.h"
#include "highgui.h"
/*
* === FUNCTION ======================================================================
* Name: usage
* Description:
* =====================================================================================
*/
void usage ( )
{
fprintf( stderr,
"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:\tDisplay this usage message.\n\
\t-u, --usage:\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\
\n\
If you have any questions, comments, concerns, email bspeice@uncc.edu\n" );
exit (0);
} /* ----- end of function usage ----- */
int main( int argc, char** argv )
{
IplImage *root; /* The root image */
IplImage *sub; /* The sub-image */
IplImage *res;
CvPoint minloc, maxloc; /* The location of our match */
double minval, maxval;
int root_width, root_height;
int sub_width, sub_height;
int res_width, res_height;
/* Set up everything for getopt */
char *separator = ",";
char *root_location = "root.png";
char *sub_location = "sub.png";
/* 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'},
{0, 0, 0, 0}
};
int option_index = 0;
opterr = 0;
int c = getopt_long (argc, argv, "hur:s:p:",
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 '?':
/* Error routine */
break;
default:
fprintf( stderr, "Unknown option..." );
exit(0);
};
}
/* load reference image */
root = cvLoadImage( root_location, CV_LOAD_IMAGE_COLOR );
/* always check */
if( root == 0 ) {
fprintf( stderr, "Cannot load the root image %s!\n", root_location );
return 0;
}
/* load sub image */
sub = cvLoadImage( sub_location, CV_LOAD_IMAGE_COLOR );
/* always check */
if( sub == 0 ) {
fprintf( stderr, "Cannot load the sub-image %s!\n", sub_location );
return 0;
}
/* get image's properties */
root_width = root->width;
root_height = root->height;
sub_width = sub->width;
sub_height = sub->height;
res_width = root_width - sub_width + 1;
res_height = root_height - sub_height + 1;
/* create new image for template matching computation */
res = cvCreateImage( cvSize( res_width, res_height ), IPL_DEPTH_32F, 1 );
/* choose template matching method to be used */
cvMatchTemplate( root, sub, res, CV_TM_SQDIFF );
/*cvMatchTemplate( root, sub, res, CV_TM_SQDIFF_NORMED );
cvMatchTemplate( root, sub, res, CV_TM_CCORR );
cvMatchTemplate( root, sub, res, CV_TM_CCORR_NORMED );
cvMatchTemplate( root, sub, res, CV_TM_CCOEFF );
cvMatchTemplate( root, sub, res, CV_TM_CCOEFF_NORMED );*/
cvMinMaxLoc( res, &minval, &maxval, &minloc, &maxloc, 0 );
/* Output the match location */
printf ("%i%s%i\n", minloc.x, separator, minloc.y );
/* free memory */
cvReleaseImage( &root );
cvReleaseImage( &sub );
cvReleaseImage( &res );
return 0;
}