OpenCV 生成多通道Mat（多维矩阵的实现）

OpenCV官方文档中三通道图片像素生成是这样实现的

Mat M(2,2,CV_8UC3,Scalar(0,0,255));
//其中“2，2”表示Rows和Cols各为2；
CV_8UC3表示M矩阵对应的参数类型是Unsigned char 8bits，3通道；
标量Scalar(0,0,255)表示每个像素所对应的像素值

---

补充：

• 8-bit unsigned integer (uchar)
• 8-bit signed integer (schar)
• 16-bit unsigned integer (ushort)
• 16-bit signed integer (short)
• 32-bit signed integer (int)
• 32-bit floating-point number (float)
• 64-bit floating-point number (double)
• a tuple of several elements where all elements have the same type
  (one of the above). An array whose elements are such tuples, are
  called multi-channel arrays, as opposite to the single-channel
  arrays, whose elements are scalar values. The maximum possible number
  of channels is defined by the CV_CN_MAX constant, which is currently
  set to 512.
  对于以上这些基本类型, 有以下应用枚举:

enum { CV_8U=0, CV_8S=1, CV_16U=2, CV_16S=3, CV_32S=4, CV_32F=5, CV_64F=6 };

当然也可以自定义Mat的数据类型

---

• Example：
  目的：生成一个2x3x5的矩阵，数据类型为double，并进行赋值

    //自定义数据类型
    typedef cv::Vec<double, 5> Vec5d;
    //生成一个2x3x5的Mat，数据为double型
    Mat M = cv::Mat::zeros(2, 3, CV_64FC(5));                                             
    std::cout << "channel = " << M.channels() << endl;//输出为5
    for (int i = 0; i < M.rows; i++)
    {
        for (int j = 0; j < M.cols; j++)
        {
            for (int c = 0; c //给M的每一个元素赋值                
                M.at(i, j)[c] = c*0.01;              
            }
        }
    }
    cout <//输出矩阵

代码运行结果：