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我已使用以下代码进行模式识别。但它给出了错误的匹配结果。请帮我看看有什么问题。这是用 xcode 编写的。

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, 5 );
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;
    printf("fsf");
}
else
{
    matchLoc = maxLoc;
    printf("fsf2");
}

/// 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 img_display;

提前致谢 。我在这里附上了截图在此处输入图像描述

在此处输入图像描述

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1 回答 1

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你应该替换 result.create(result_cols, result_rows, CV_32FC1); 使用 result.create(result_rows, result_cols, CV_32FC1);

于 2013-09-17T21:31:40.547 回答