（1）自定义赋值，kernel = [ 1 ,2 ,3 ]：
Mat kernel = (Mat_(1,3) << 1 ,2 ,3 );
（2）合并矩阵，类似matlab中 A = [ B ; C ]；A = [ B C ]之类的操作：
//A = [ B ; C ]
//B = [ 1 ,2 ,3 ] ; C = [ 3 ,2 ,1 ] ; A = [ 1 ,2 ,3 ;3 ,2 ,1 ]
vconcat( B ,C , A );
//A = [ B C ]
//B = [ 1 ,2 ,3 ] ; C = [ 3 ,2 ,1 ] ; A = [ 1 ,2 ,3 ,3 ,2 ,1 ]
hconcat( B ,C ,A );
//支持vector
vector vec;
vec.push_back(B);
vec.push_back(C);
vconcat( vec, A );
（3）按像素读写
Mat A( 3 ,3 , CV_32FC1 );
A.at(0 ,0) = value; //at()模版函数，需要指定类型，参数为Point(x,y)
（4）图像类型转换，如CV_8UC1转CV_32FC1等，直接使用normalize()
Mat A = Mat( 3 ,3 ,CV_8UC1 );
normalize(A ,A ,1.0 ,0.0 ,NORM_MINMAX ,CV_32FC1);
//normalize(InputArray src ,OutputArray dst ,double alpha ,double
// beta ,int norm_type ,int dtype , InputArray mask)
//alpha 为最大值，beta 为最小值，dtype=-1表示原图像深度
（5）XML，YAML文件读写，用opencv自带类FileStorage
FileStorage file( "xxx.xml" , FileStorage::WRITE);
//FileStorage file;
//file.open( "xxx.xml" , FileStorage::WRITE);
file << "matrix" << (Mat_(3,3) << 1,2,3,4,5,6,7,8,9);
file.release(); //关闭xml
FileStorage file( "xxx.xml" , FileStorage::READ);
Mat A = (Mat)file[ "matrix" ]; // A = [ 1 ,2 ,3 ; 4 ,5 ,6 ; 7 ,8 ,9 ]
//file["matrix"] >> A;
//读写vector类型
file << "strings" << "["; //以 [ 开始
file << "123" << "234" << "345";
file << "]"; //关闭序列，vector = [ 123 , 234 , 345 ]
FileNode node = file["strings"];
auto iter = node.begin(); //迭代器循环
//读写map类型，用迭代器循环
file << "mapping" << "{"; //以 { 开始
file << "one" << 1 << "two" << 2;
file << "}";