OpenCV模板匹配错误

KJW*_*KJW 3 c++ opencv qt4

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>
#include <stdio.h>

using namespace std;
using namespace cv;

/// Global Variables
Mat img; Mat templ; Mat result;
char* image_window = "Source Image";
char* result_window = "Result window";

int match_method;
int max_Trackbar = 5;

/// Function Headers
void MatchingMethod( int, void* );

/** @function main */
int main( int argc, char** argv )
{
  /// Load image and template
  img = imread( "test.png", 1 );
  templ = imread( "template.png", 1 );

  /// Create windows
  namedWindow( image_window, CV_WINDOW_AUTOSIZE );
  namedWindow( result_window, CV_WINDOW_AUTOSIZE );

  /// Create Trackbar
  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";
  createTrackbar( trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod );

  MatchingMethod( 0, 0 );

  waitKey(0);
  return 0;
}

/**
 * @function MatchingMethod
 * @brief Trackbar callback
 */
void MatchingMethod( int, void* )
{
  /// Source image to display
  Mat img_display;
  img.copyTo( img_display );

  /// Create the result matrix
  int result_cols =  img.cols - templ.cols + 1;
  int result_rows = img.rows - templ.rows + 1;

  result.create( result_cols, result_rows, CV_32FC1 );

  /// Do the Matching and Normalize
  matchTemplate( img, templ, result, match_method );
  normalize( result, result, 0, 1, NORM_MINMAX, -1, Mat() );

  /// Localizing the best match with minMaxLoc
  double minVal; double maxVal; Point minLoc; Point maxLoc;
  Point matchLoc;

  minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() );

  /// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better
  if( match_method  == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED )
    { matchLoc = minLoc; }
  else
    { matchLoc = maxLoc; }

  /// Show me what you got
  rectangle( img_display, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );
  rectangle( result, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 );

  imshow( image_window, img_display );
  imshow( result_window, result );

  return;
}
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使用opencv中的示例代码时,我遇到以下错误.我是QT C++的新手,我不知道如何调试它.通常在Java中我会使用堆栈跟踪并告诉我在代码中我在哪里搞砸但这似乎直接指向库.

OpenCV错误:断言失败(corrsize.height <= img.rows + templ.rows - 1 && corrsize.width <= img.cols + templ.cols - 1)在crossCorr中,文件c:/ OpenCV/opencv/modules/imgproc /src/templmatch.cpp,第70行终止在抛出'cv :: Exception'的实例后调用what():c:/OpenCV/opencv/modules/imgproc/src/templmatch.cpp:70:error:(215 )corrsize.height <= img.rows + templ.rows - 1 && corrsize.width <= img.cols + te mpl.cols - 1 in function crossCorr

更新:生成的.exe文件运行但不是从QtCreator启动时运行.我能够启动内置的.exe文件.我复制了QtSDK/Simulator/mingw/bin中的文件,令我惊讶的是应用程序运行成功.当我单击Qt Creator中的"运行"按钮时,它将在上面抛出相同的错误消息.

Fro*_*oyo 5

当我将不正确的文件名称为image/templ时,我得到了同样的错误.如果您提供的文件名不正确,则不会出错,但创建的Mat的大小(0,0).因此断言错误.

当我给出正确的图像时,程序运行良好.

我的输出(正确的图像文件名) 在此输入图像描述

PS我正在使用OpenCV 2.4.0