2012-07-01 207 views
3
#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; 
} 

使用来自opencv的示例代码时,遇到以下错误。我对QT C++很新,我不知道如何调试。通常在Java中,我会使用堆栈跟踪并告诉我在哪里我搞砸了代码,但这似乎直接指向库。OpenCV模板匹配错误

OpenCV Error: Assertion failed (corrsize.height <= img.rows + templ.rows - 1 && corrsize.width <= img.cols + templ.cols - 1) in crossCorr, file c:/OpenCV/opencv /modules/imgproc/src/templmatch.cpp, line 70 terminate called after throwing an instance of 'cv::Exception' 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

UPDATE:内置.exe文件运行,但不能当它是从QtCreator启动。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。当我点击Qt Creator里面的运行按钮时,它会抛出上面相同的错误信息。

+0

您应该仍然能够使用调试器可以找到代码的最后一行是在崩溃之前执行的。 –

回答

1

问题源于结果垫的大小,当您使用创建垫的第一个参数的方法是行数和第二个是数山坳的,所以你应该改变result.create(result_cols, result_rows, CV_32FC1);result.create(result_rows, result_cols, CV_32FC1);

+0

仍然没有区别。 – KJW

+0

完全一样的异常? – hamed

+0

是的...我阅读文档,虽然你是正确的,我仍然得到相同的错误信息。 – KJW

3

我当我将不正确的文件名称作为image/templ时出现同样的错误。如果您提供不正确的文件名称,它不会给出错误,但创建的Mat大小(0,0)。因此断言错误。

当我给出正确的图像时,该程序运行良好。

我的输出(使用正确的图像的文件名) enter image description here

P.S.我使用的OpenCV 2.4.0

0

我有同样的问题 - 我只能得到它后forceably改变这两种类型的工作,像这样:

cvtColor(src,src,CV_8UC1); //channels need to match template 
cvtColor(template,template,CV_8UC1); //channels need to match template