template-matching

问题 As it currently stands, this question is not a good fit for our Q&A format. We expect answers to be supported by facts, references, or expertise, but this question will likely solicit debate, arguments, polling, or extended discussion. If you feel that this question can be improved and possibly reopened, visit the help center for guidance. Closed 7 years ago . What is a good method to align images together that may have different rotations, exposures, etc, but have the same background or

问题 What's the most sensible algorithm, or combination of algorithms, to be using from OpenCV for the following problem: I have a set of small 2D images. I want to detect the locations of these subimages in a larger image. The subimages are usually around 32x32 pixels, and the larger image is around 400x400. The subimages are not always square, and such contains alpha channel. Optionally - the larger image may be grainy, compressed, rotated in 3D, or otherwise slightly distorted I have tried

问题 One whole day I have tried a lot to get all the related matches (with matchtemplate function) in sub-Image , which is ROI i have already extracted from the original image with the mousecallback function. So my code is below for the Matchingfunction ////Matching Function void CTemplate_MatchDlg::OnBnTemplatematch() { namedWindow("reference",CV_WINDOW_AUTOSIZE); while(true) { Mat ref = imread("img.jpg"); // Original Image mod_ref = cvCreateMat(ref.rows,ref.cols,CV_32F);// resizing the image to

问题 I am trying to find the location of image inside a specific area in another. I am using javacv to do this issue. But my code is giving an error when executing cvMatchTemplate function. I think I am miss using cvSetImageROI . This is how I am using it: public static void main(String c[]) { IplImage src = cvLoadImage("test.jpg", 0); IplImage tmp = cvLoadImage("tmp.png", 0); IplImage result = cvCreateImage(cvSize(src.width() - tmp.width() + 1, src.height() - tmp.height() + 1), IPL_DEPTH_32F,1);

问题 I am trying to find the location of image inside a specific area in another. I am using javacv to do this issue. But my code is giving an error when executing cvMatchTemplate function. I think I am miss using cvSetImageROI . This is how I am using it: public static void main(String c[]) { IplImage src = cvLoadImage("test.jpg", 0); IplImage tmp = cvLoadImage("tmp.png", 0); IplImage result = cvCreateImage(cvSize(src.width() - tmp.width() + 1, src.height() - tmp.height() + 1), IPL_DEPTH_32F,1);

问题 Can anyone please explain how to perform template matching using FFT. The template is smaller than the original image. 1. Everywhere it states that the template has to be padded with zeros. How it is done. Is it added to the bottom and right of the image or equally around the entire image. Thanks in advance. 回答1: You are using the Fourier Transform to calculate the cross correlation; it's as simple as that. Padding is performed around all sides of the template. This is because a standard Fast

问题 I am running template matching using openCV 3.4.7 Android SDK (java). The code work almost perfectly; when the template is match, it draws a rectangle on the matching area. The problem is that even when there is no match, it draws a random rectangle. I think that happens because the threshold is not set correctly. If so, can someone please help me out? Here's the code: public static void run(String inFile, String templateFile, String outFile, int match_method) { Mat img = Imgcodecs.imread

问题 I have this code cvMatchTemplate(image2, templat2, result, CV_TM_CCORR_NORMED); How do I make the program execute the following lines if there is a match: double min_val, max_val; CvPoint min_loc, max_loc; cvMinMaxLoc(result, &min_val, &max_val, &min_loc, &max_loc); cvRectangle(image3, max_loc, cvPoint(max_loc.x+templat->width, max_loc.y+templat->height), cvScalar(0,1,1), 1); Thank you. 回答1: You need to execute both cvMatchTemplate and cvMinMaxLoc together: cvMatchTemplate(image2, templat2,

问题 Is there some way for matchTemplate to work with a non-rectangular templ ? For example to use the alpha channel, etc to ignore certain pixels when calculating the score? The various formulas for scores SHOULD generalize to non-rectangular templates. 回答1: If you are using openCV 3 you can use mask to do template match on non-rectangular regions. But in case you are using openCV 2, you have to write your own function to mask your template and then do template match on the source image. 来源：

问题 Here is an example of a code that works perfectly: #include<iostream> #include<vector> template< class D, template< class D, class A > class C, class A = std::allocator< D > > void foo( C< D, A > *bar, C< D, A > *bas ) { std::cout << "Ok!" << std::endl; } int main( ) { std::vector< int > *sample1 = nullptr; std::vector< int > *sample2 = nullptr; foo( sample1, sample2 ); return( 0 ); } In the code below, however, the compiler is unable to match std::vector< int >* with nullptr for the second