91 lines
2.4 KiB
C++
91 lines
2.4 KiB
C++
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/**
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* @file MatchTemplate_Demo.cpp
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* @brief Sample code to use the function MatchTemplate
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* @author OpenCV team
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*/
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include <iostream>
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#include <stdio.h>
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using namespace std;
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using namespace cv;
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/// Global Variables
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Mat img; Mat templ; Mat result;
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char* image_window = "Source Image";
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char* result_window = "Result window";
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int match_method;
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int max_Trackbar = 5;
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/// Function Headers
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void MatchingMethod( int, void* );
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/**
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* @function main
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*/
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int main( int argc, char** argv )
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{
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/// Load image and template
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img = imread( argv[1], 1 );
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templ = imread( argv[2], 1 );
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/// Create windows
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namedWindow( image_window, CV_WINDOW_AUTOSIZE );
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namedWindow( result_window, CV_WINDOW_AUTOSIZE );
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/// Create Trackbar
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char* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED";
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createTrackbar( trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod );
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MatchingMethod( 0, 0 );
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waitKey(0);
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return 0;
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}
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/**
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* @function MatchingMethod
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* @brief Trackbar callback
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*/
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void MatchingMethod( int, void* )
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{
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/// Source image to display
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Mat img_display;
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img.copyTo( img_display );
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/// Create the result matrix
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int result_cols = img.cols - templ.cols + 1;
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int result_rows = img.rows - templ.rows + 1;
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result.create( result_cols, result_rows, CV_32FC1 );
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/// Do the Matching and Normalize
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matchTemplate( img, templ, result, match_method );
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normalize( result, result, 0, 1, NORM_MINMAX, -1, Mat() );
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/// Localizing the best match with minMaxLoc
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double minVal; double maxVal; Point minLoc; Point maxLoc;
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Point matchLoc;
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minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() );
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/// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better
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if( match_method == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED )
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{ matchLoc = minLoc; }
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else
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{ matchLoc = maxLoc; }
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/// Show me what you got
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rectangle( img_display, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
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rectangle( result, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
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imshow( image_window, img_display );
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imshow( result_window, result );
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return;
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}
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