I'm trying to learn how to use openCV's new c++ interface.
How do I access elements of a multi channel matrix. for example:
Mat myMat(size(3, 3), CV_32FC2); for (int i = 0; i < 3; ++i) { for (int j = 0; j < 3; ++j) { //myMat_at_(i,j) = (i,j); } } What is the easiest way to do this? Something like cvSet2D of the old interface
What is the most efficiant way? Similar to using direct pointers in the old interface.
Thank you
typedef struct elem_ { float f1; float f2; } elem; elem data[9] = { 0.0f }; CvMat mat = cvMat(3, 3, CV_32FC2, data ); float f1 = CV_MAT_ELEM(mat, elem, row, col).f1; float f2 = CV_MAT_ELEM(mat, elem, row, col).f2; CV_MAT_ELEM(mat, elem, row, col).f1 = 1212.0f; CV_MAT_ELEM(mat, elem, row, col).f2 = 326.0f; Update : for OpenCV2.0
Mat (or CvMat) has 3 dimensions: row, col, channel.
We can access one element (or pixel) in the matrix by specifying the row and col.
CV_32FC2 means the element is 32bit floating point value with 2 channels.
So elem in above code is one acceptable representation of CV_32FC2.
You can use other representations you like. For example :
typedef struct elem_ { float val[2]; } elem; typedef struct elem_ { float x;float y; } elem; OpenCV2.0 adds some new types to represent the element in the matrix,like :
template<typename _Tp, int cn> class CV_EXPORTS Vec // cxcore.hpp (208) So we can use Vec<float,2> to represent CV_32FC2, or use :
typedef Vec<float, 2> Vec2f; // cxcore.hpp (254) See the source code to get more type that can represent your element.
Here we use Vec2f
The easiest and efficiant way to access the element in the Mat class is Mat::at.
It has 4 overloads :
template<typename _Tp> _Tp& at(int y, int x); // cxcore.hpp (868) template<typename _Tp> const _Tp& at(int y, int x) const; // cxcore.hpp (870) template<typename _Tp> _Tp& at(Point pt); // cxcore.hpp (869) template<typename _Tp> const _Tp& at(Point pt) const; // cxcore.hpp (871) // defineded in cxmat.hpp (454-468) // we can access the element like this : Mat m( Size(3,3) , CV_32FC2 ); Vec2f& elem = m.at<Vec2f>( row , col ); // or m.at<Vec2f>( Point(col,row) ); elem[0] = 1212.0f; elem[1] = 326.0f; float c1 = m.at<Vec2f>( row , col )[0]; // or m.at<Vec2f>( Point(col,row) ); float c2 = m.at<Vec2f>( row , col )[1]; m.at<Vec2f>( row, col )[0] = 1986.0f; m.at<Vec2f>( row, col )[1] = 326.0f; Mat provides 2 conversion functions:
// converts header to CvMat; no data is copied // cxcore.hpp (829) operator CvMat() const; // defined in cxmat.hpp // converts header to IplImage; no data is copied operator IplImage() const; // we can interact a Mat object with old interface : Mat new_matrix( ... ); CvMat old_matrix = new_matrix; // be careful about its lifetime CV_MAT_ELEM(old_mat, elem, row, col).f1 = 1212.0f; Vic you must use Vec3b instead of Vec3i:
for (int i=0; i<image.rows; i++) { for (int j=0; j<image.cols; j++) { if (someArray[i][j] == 0) { image.at<Vec3b>(i,j)[0] = 0; image.at<Vec3b>(i,j)[1] = 0; image.at<Vec3b>(i,j)[2] = 0; } } } You can access the underlying data array directly:
Mat myMat(size(3, 3), CV_32FC2); myMat.ptr<float>(y)[2*x]; // first channel myMat.ptr<float>(y)[2*x+1]; // second channel it depends on the datatype of the Mat you are using, if it is numeric like CV_32FC1 you can use:
myMat.at<float>(i, j) if it is a uchar type then you can access an element using
(symb.at<Vec3b>(i, j)).val[k] where k is the channel, thats 0 for grayscale images and 3 for colored
The best way to access multi channel array with the c++ api is by creating a pointer to a specific row using the ptr method.
For example;
type elem = matrix.ptr<type>(i)[N~c~*j+c]
where
For information on other c->c++ conversion check out this link: Source