OpenCV基本数据类型

Point_

typedef Point_<int> Point2i;typedef Point2i Point;typedef Point_<float> Point2f;typedef Point_<double> Point2d;

Point3_

typedef Point3_<int> Point3i;typedef Point3_<float> Point3f;typedef Point3_<double> Point3d;

Size_

typedef Size_<int> Size2i;typedef Size2i Size;typedef Size_<float> Size2f;

Rect_

typedef Rect_<int> Rect;

Matx

typedef Matx<float,1,2> Matx12f;typedef Matx<double,1,2> Matx12d;...

Vec

typedef Vec<uchar, 2> Vec2b;typedef Vec<short,3> Vec3s;typedef Vec<int, 4> Vec4i;typddef Vec<float,6> Vec6i;...

Scalar_

typedef Scalar_<double> Scalar;

Range

class Range{public:...int start, end;};

ex:取A的全部行，和 1到180列

Mat A = imread("b.jpg", CV_LOAD_IMAGE_COLOR);Mat B = A(Range::all(), Range(1, 180));

Mat

创建复杂的矩阵

// make a 7x7 complex matrix filled with 1+3j.Mat M(7,7,CV_32FC2,Scalar(1,3));// and now turn M to a 100x60 15-channel 8-bit matrix.// The old content will be deallocatedM.create(100,60,CV_8UC(15));

多维数组

// create a 100x100x100 8-bit arrayint sz[] = {100, 100, 100};Mat bigCube(3, sz, CV_8U, Scalar::all(0));

矩阵行操作

// add the 5-th row, multiplied by 3 to the 3rd rowM.row(3) = M.row(3) + M.row(5)*3;

矩阵列操作

// now copy the 7-th column to the 1-st column// M.col(1) = M.col(7); // this will not workMat M1 = M.col(1);M.col(7).copyTo(M1);

locateROI使用

Mat A = Mat::eye(10, 10, CV_32S);// extracts A columns, 1 (inclusive) to 3 (exclusive).Mat B = A(Range::all(), Range(1, 3));// extracts B rows, 5 (inclusive) to 9 (exclusive).// that is, C ~ A(Range(5, 9), Range(1, 3))Mat C = B(Range(5, 9), Range::all());Size size; Point ofs;C.locateROI(size, ofs);// size will be (width=10,height=10) and the ofs will be (x=1, y=5)

矩阵元素访问：

指针加[ ] 

int sum = 0;Mat M = Mat::eye(20, 20, CV_8UC1);for (int i=0; i < M.rows; i++){const uchar* mi = M.ptr<uchar>(i);for (int j=0; j < M.cols; j++){sum += mi[j];}}

迭代

MatConstIterator_<uchar> it = M.begin<uchar>(), it_end = M.end<uchar>();for (; it != it_end; ++it)sum += *it;