/*===============================================//
功能：Template Matching with OpenCV
時(shí)間：3/22/2011 SkySeraph HQU
//===============================================*/
#include "iostream"
using namespace std;
#include "cv.h"
#include "highgui.h"
#include "math.h"
#pragma comment(lib,"highgui.lib")
#pragma comment(lib,"cv.lib")
#pragma comment(lib,"cvaux.lib")
#pragma comment(lib,"cxcore.lib")
const char* filename1 = "D:\\My Documents\\My Pictures\\Images\\歸一化.bmp";
const char* filename2 = "D:\\My Documents\\My Pictures\\Images\\歸一化模板.bmp";
/*=============================================*/
int main( int argc, char** argv )
{
IplImage *img;
IplImage *tpl;
IplImage *res;
CvPoint minloc, maxloc;
double minval, maxval;
int img_width, img_height;
int tpl_width, tpl_height;
int res_width, res_height;
img = cvLoadImage( filename1, CV_LOAD_IMAGE_COLOR );
tpl = cvLoadImage( filename2, CV_LOAD_IMAGE_COLOR );
if( tpl == 0 )
{
fprintf( stderr, "Cannot load file %s!\n", argv[2] );
return 1;
}
cvNamedWindow( "src", CV_WINDOW_AUTOSIZE );
cvShowImage( "src", img );
cvNamedWindow( "template", CV_WINDOW_AUTOSIZE );
cvShowImage( "template", tpl );
/* get image's properties */
img_width = img->width;
img_height = img->height;
tpl_width = tpl->width;
tpl_height = tpl->height;
res_width = img_width - tpl_width + 1;
res_height = img_height - tpl_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( img, tpl, res, CV_TM_CCORR_NORMED );
/*cvMatchTemplate( img, tpl, res, CV_TM_SQDIFF_NORMED );
cvMatchTemplate( img, tpl, res, CV_TM_CCORR );
cvMatchTemplate( img, tpl, res, CV_TM_SQDIFF );
cvMatchTemplate( img, tpl, res, CV_TM_CCOEFF );
cvMatchTemplate( img, tpl, res, CV_TM_CCOEFF_NORMED );*/
cvNamedWindow( "res", CV_WINDOW_AUTOSIZE );
cvShowImage( "res", res );
cvMinMaxLoc( res, &minval, &maxval, &minloc, &maxloc, 0 );
/* draw red rectangle */
/*cvRectangle( img,
cvPoint( minloc.x, minloc.y ),
cvPoint( minloc.x + tpl_width, minloc.y + tpl_height ),
cvScalar( 0, 0, 255, 0 ), 1, 0, 0 );*/
CvPoint pt1;
CvPoint pt2;
CvRect rect;
rect=cvRect(maxloc.x,maxloc.y,tpl->width,tpl->height);//最佳的匹配區(qū)域
pt1=cvPoint(rect.x,rect.y);
pt2=cvPoint(rect.x+rect.width,rect.y+rect.height);
cvRectangle( img,pt1, pt2, cvScalar(0,0,255),1, 8, 0 );
/* display images */
cvNamedWindow( "reference", CV_WINDOW_AUTOSIZE );
cvShowImage( "reference", img );
/* wait until user press a key to exit */
cvWaitKey( 0 );
/* free memory */
cvDestroyWindow( "reference" );
cvDestroyWindow( "template" );
cvReleaseImage( &img );
cvReleaseImage( &tpl );
cvReleaseImage( &res );
return 0;
}
