目录
1、什么是Mat类
Mat类是OpenCV中用于存储矩阵数据的类型。
2、Mat类组成
3、Mat类能存储的数据类型
Tp:用户可自定义类型
4.Mat类的创建
4.1 利用矩阵宽、高和类型参数创建
Mat a(3, 3, CV_8S);4.2 利用矩阵Size()结构和数据类型参数来创建
Mat a(Size(3,3), CV_8SC(2));//C(2)通道数为24.3 利用已有Mat类来创建
5、Mat类的赋值
5.1 创建时赋值
Mat f(Size(3,3),CV_8U,Scalar(0,55,255));5.2 类方法赋值
a=Mat::eye(3,3,CV_8U);5.3 枚举赋值
6、Mat类数据的读取
6.1 Mat类的常用属性
6.2 at方法读取矩阵元素
6.3 矩阵元素地址定位方式访问元素
Mat a = (Mat_<int>(3, 3) << 1, 2, 3, 4, 5, 6, 7, 8, 9);
Mat c0(5,5,CV_8UC1,Scalar(4,5,6));
Mat c1(5,5,CV_8UC2,Scalar(4,5,6));
Mat c2(5,5,CV_8UC3,Scalar(4,5,6));
cout << a.at<int>(0, 0) << endl;
Vec2b vc = c1.at<Vec2b>(0,1);
cout << vc << endl;
cout << (int)vc[0] << endl;
cout << (double)(*(c2.data + c2.step[0] * 3 + c2.step[1] * 3 + 3))<< endl;
cout << vc[0] << endl;
7.Mat支持的运算
7.1 符号运算
7.2 两个矩阵相乘
7.3 OpenCV中提供的运算函数
Mat a = (Mat_<int>(3, 3) << 1, 2, 3, 4, 5, 6, 7, 8, 9);
Mat b = (Mat_<int>(3, 3) << 1, 2, 3, 7, 8, 9, 4, 5, 6);
Mat c = (Mat_<double>(3, 3) << 1.0, 2.1, 3.2, 4.3, 5.4, 6.5, 7.6, 8.7, 9.8);
Mat d = (Mat_<double>(3, 3) << 1.0, 2.1, 3.2, 4.3, 5.4, 6.5, 7.6, 8.7, 9.8);
cout << "两个矩阵的和=" << endl << a + b << endl;
cout << "两个矩阵的差=" << endl << c - d << endl;
cout << "矩阵数乘=" << endl << 2 * a << endl;
cout << "矩阵数除 = " << endl << d / 2.0 << endl;
cout << "矩阵减数 = " << endl << a - 1 << endl;
cout << "两矩阵相乘=" << endl << c*d << endl;
cout << "矩阵内积 = " << endl << a.dot(b) << endl;
cout << "矩阵对应位相乘=" << endl << a.mul(b) << endl;
cout << "两个矩阵最小值=" << endl << min(a, b) << endl;