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https://github.com/bspeice/libcvautomation
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CVAM: Initial detection program
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1
.gitignore
vendored
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.gitignore
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*.swp
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8
Makefile
8
Makefile
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all: cva-match
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all: clean cva-match
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debug: cva-match-debug
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gcc cva-match.o `pkg-config --libs opencv` -o cva-match
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@ -7,10 +7,10 @@ cva-match: cva-match.o
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gcc cva-match.o `pkg-config --libs opencv` -o cva-match
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cva-match-debug: cva-match-debug.o
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gcc cva-match.c -DDEBUG `pkg-config --cflags opencv` -c -o cva-match.o
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gcc src/cva-match.c -DDEBUG `pkg-config --cflags opencv` -c -o cva-match.o
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cva-match.o:
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gcc cva-match.c `pkg-config --cflags opencv` -c -o cva-match.o
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gcc src/cva-match.c `pkg-config --cflags opencv` -c -o cva-match.o
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clean:
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rm *.o cva-match
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rm *.o cva-match -f
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93
cva-match.c
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cva-match.c
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/*
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* TemplateMatching 1.0
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*
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* @author Nashruddin Amin <me@nashruddin.com>
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* @version 1.0
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* @website http://www.nashruddin.com
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*/
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#include <stdio.h>
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#include "cv.h"
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#include "highgui.h"
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int main( int argc, char** argv )
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{
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IplImage *img;
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IplImage *tpl;
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IplImage *res;
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CvPoint minloc, maxloc;
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double minval, maxval;
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int img_width, img_height;
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int tpl_width, tpl_height;
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int res_width, res_height;
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/* check for arguments */
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if( argc < 3 ) {
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fprintf( stderr, "Usage: template_match <reference> <template>\n" );
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return 1;
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}
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/* load reference image */
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img = cvLoadImage( argv[1], CV_LOAD_IMAGE_COLOR );
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/* always check */
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if( img == 0 ) {
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fprintf( stderr, "Cannot load file %s!\n", argv[1] );
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return 1;
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}
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/* load template image */
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tpl = cvLoadImage( argv[2], CV_LOAD_IMAGE_COLOR );
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/* always check */
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if( tpl == 0 ) {
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fprintf( stderr, "Cannot load file %s!\n", argv[2] );
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return 1;
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}
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/* get image's properties */
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img_width = img->width;
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img_height = img->height;
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tpl_width = tpl->width;
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tpl_height = tpl->height;
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res_width = img_width - tpl_width + 1;
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res_height = img_height - tpl_height + 1;
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/* create new image for template matching computation */
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res = cvCreateImage( cvSize( res_width, res_height ), IPL_DEPTH_32F, 1 );
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/* choose template matching method to be used */
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cvMatchTemplate( img, tpl, res, CV_TM_SQDIFF );
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/*cvMatchTemplate( img, tpl, res, CV_TM_SQDIFF_NORMED );
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cvMatchTemplate( img, tpl, res, CV_TM_CCORR );
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cvMatchTemplate( img, tpl, res, CV_TM_CCORR_NORMED );
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cvMatchTemplate( img, tpl, res, CV_TM_CCOEFF );
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cvMatchTemplate( img, tpl, res, CV_TM_CCOEFF_NORMED );*/
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cvMinMaxLoc( res, &minval, &maxval, &minloc, &maxloc, 0 );
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/* draw red rectangle */
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cvRectangle( img,
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cvPoint( minloc.x, minloc.y ),
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cvPoint( minloc.x + tpl_width, minloc.y + tpl_height ),
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cvScalar( 0, 0, 255, 0 ), 1, 0, 0 );
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/* display images */
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cvNamedWindow( "reference", CV_WINDOW_AUTOSIZE );
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cvNamedWindow( "template", CV_WINDOW_AUTOSIZE );
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cvShowImage( "reference", img );
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cvShowImage( "template", tpl );
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/* wait until user press a key to exit */
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cvWaitKey( 0 );
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/* free memory */
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cvDestroyWindow( "reference" );
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cvDestroyWindow( "template" );
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cvReleaseImage( &img );
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cvReleaseImage( &tpl );
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cvReleaseImage( &res );
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return 0;
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}
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180
src/cva-match.c
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src/cva-match.c
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/*
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* =====================================================================================
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*
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* Filename: cva-match.c
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*
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* Description: Match an image to its parent image, and return the coordinates
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*
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* Version: 0.1
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* Created: 06/20/2012
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* Revision: none
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* Compiler: gcc
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*
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* Author: Bradlee Speice, bspeice@uncc.edu
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* Organization: MOSAIC at University of North Carolina at Charlotte
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*
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* =====================================================================================
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*/
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#include <stdlib.h>
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#include <stdio.h>
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#include <unistd.h>
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#include <getopt.h>
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#include "cv.h"
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#include "highgui.h"
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/*
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* === FUNCTION ======================================================================
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* Name: usage
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* Description:
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* =====================================================================================
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*/
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void usage ( )
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{
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fprintf( stderr,
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"cva-match -r <root_image> -s <sub_image> \n\
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\n\
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This program uses OpenCV in order to recognize an image within an image.\n\
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The return code is how many matches were found - return 0 for no matches,\n\
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1 for one match, etc.\n\
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\n\
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Usage: \n\
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\n\
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\t-h, --help:\tDisplay this usage message.\n\
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\t-u, --usage:\tDisplay this usage message.\n\
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\t-r, --root-image:\tLocation of the root image to compare against.\n\
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\t-s, --sub-image:\tLocation of the sub-image to find in root.\n\
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\t-p, --separator:\tSeparator of the X and Y coordinates.\n\
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\n\
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If you have any questions, comments, concerns, email bspeice@uncc.edu\n" );
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exit (0);
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} /* ----- end of function usage ----- */
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int main( int argc, char** argv )
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{
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IplImage *root; /* The root image */
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IplImage *sub; /* The sub-image */
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IplImage *res;
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CvPoint minloc, maxloc; /* The location of our match */
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double minval, maxval;
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int root_width, root_height;
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int sub_width, sub_height;
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int res_width, res_height;
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/* Set up everything for getopt */
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char *separator = ",";
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char *root_location = "root.png";
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char *sub_location = "sub.png";
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/* Start getopt */
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while (1)
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{
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static struct option long_options[] =
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{
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{"help", no_argument, 0, 'h'},
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{"usage", no_argument, 0, 'u'},
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{"root-image", required_argument, 0, 'r'},
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{"sub-image", required_argument, 0, 's'},
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{"separator", required_argument, 0, 'p'},
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{0, 0, 0, 0}
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};
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int option_index = 0;
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opterr = 0;
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int c = getopt_long (argc, argv, "hur:s:p:",
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long_options, &option_index);
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/* We're done with parsing options */
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if (c == -1)
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break;
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switch (c)
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{
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case 0:
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break;
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case 'h':
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usage();
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break;
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case 'u':
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usage();
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break;
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case 'r':
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root_location = optarg;
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break;
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case 's':
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sub_location = optarg;
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break;
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case 'p':
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separator = optarg;
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break;
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case '?':
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/* Error routine */
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break;
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default:
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fprintf( stderr, "Unknown option..." );
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exit(0);
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};
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}
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/* load reference image */
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root = cvLoadImage( root_location, CV_LOAD_IMAGE_COLOR );
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/* always check */
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if( root == 0 ) {
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fprintf( stderr, "Cannot load the root image %s!\n", root_location );
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return 0;
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}
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/* load sub image */
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sub = cvLoadImage( sub_location, CV_LOAD_IMAGE_COLOR );
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/* always check */
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if( sub == 0 ) {
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fprintf( stderr, "Cannot load the sub-image %s!\n", sub_location );
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return 0;
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}
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/* get image's properties */
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root_width = root->width;
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root_height = root->height;
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sub_width = sub->width;
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sub_height = sub->height;
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res_width = root_width - sub_width + 1;
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res_height = root_height - sub_height + 1;
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/* create new image for template matching computation */
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res = cvCreateImage( cvSize( res_width, res_height ), IPL_DEPTH_32F, 1 );
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/* choose template matching method to be used */
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cvMatchTemplate( root, sub, res, CV_TM_SQDIFF );
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/*cvMatchTemplate( root, sub, res, CV_TM_SQDIFF_NORMED );
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cvMatchTemplate( root, sub, res, CV_TM_CCORR );
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cvMatchTemplate( root, sub, res, CV_TM_CCORR_NORMED );
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cvMatchTemplate( root, sub, res, CV_TM_CCOEFF );
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cvMatchTemplate( root, sub, res, CV_TM_CCOEFF_NORMED );*/
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cvMinMaxLoc( res, &minval, &maxval, &minloc, &maxloc, 0 );
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/* Output the match location */
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printf ("%i%s%i\n", minloc.x, separator, minloc.y );
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/* free memory */
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cvReleaseImage( &root );
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cvReleaseImage( &sub );
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cvReleaseImage( &res );
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return 0;
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}
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