Multi-Dimensional data in a Matrix in OpenCV with C++

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一向 2020-12-05 16:52

I want to declare, populate, access a Multi-Dimensional Matrix in OpenCV (C++) which is compatible with namespace cv. I found no quick and easy to learn exa

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  • 2020-12-05 17:03

    To create a multi-dimensional matrix that is of size 100x100x3, using floats, one channel, and with all elements initialized to 10 you write like this:

    int size[3] = { 100, 100, 3 };
    cv::Mat M(3, size, CV_32FC1, cv::Scalar(10));
    

    To loop over and output the elements in the matrix you can do:

    for (int i = 0; i < 100; i++)
      for (int j = 0; j < 100; j++)
        for (int k = 0; k < 3; k++) 
          std::cout << M.at<cv::Vec3f>(i,j)[k] << ", ";
    

    However, beware of the troubles with using multi-dimensional matrices as documented here: How do i get the size of a multi-dimensional cv::Mat? (Mat, or MatND)

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  • 2020-12-05 17:24

    Here is a short example from the NAryMatIterator documentation; it shows how to create, populate, and process a multi-dimensional matrix in OpenCV:

    void computeNormalizedColorHist(const Mat& image, Mat& hist, int N, double minProb)
    {
        const int histSize[] = {N, N, N};
    
        // make sure that the histogram has a proper size and type
        hist.create(3, histSize, CV_32F);
    
        // and clear it
        hist = Scalar(0);
    
        // the loop below assumes that the image
        // is a 8-bit 3-channel. check it.
        CV_Assert(image.type() == CV_8UC3);
        MatConstIterator_<Vec3b> it = image.begin<Vec3b>(),
                                 it_end = image.end<Vec3b>();
        for( ; it != it_end; ++it )
        {
            const Vec3b& pix = *it;
            hist.at<float>(pix[0]*N/256, pix[1]*N/256, pix[2]*N/256) += 1.f;
        }
    
        minProb *= image.rows*image.cols;
        Mat plane;
        NAryMatIterator it(&hist, &plane, 1);
        double s = 0;
        // iterate through the matrix. on each iteration
        // it.planes[*] (of type Mat) will be set to the current plane.
        for(int p = 0; p < it.nplanes; p++, ++it)
        {
            threshold(it.planes[0], it.planes[0], minProb, 0, THRESH_TOZERO);
            s += sum(it.planes[0])[0];
        }
    
        s = 1./s;
        it = NAryMatIterator(&hist, &plane, 1);
        for(int p = 0; p < it.nplanes; p++, ++it)
            it.planes[0] *= s;
    }
    

    Also, check out the cv::compareHist function for another usage example of the NAryMatIterator here.

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