Converting cv::Mat to IplImage*

Question

The documentation on this seems incredibly spotty.

I\'ve basically got an empty array of IplImage*s (IplImage** imageArray) and I\'m calling a function to import an

Answer 1

According to OpenCV cheat-sheet this can be done as follows:

IplImage* oldC0 = cvCreateImage(cvSize(320,240),16,1);
Mat newC = cvarrToMat(oldC0);

The cv::cvarrToMat function takes care of the conversion issues.

Answer 2

Mat image1;
IplImage* image2=cvCloneImage(&(IplImage)image1);

Guess this will do the job.

Edit: If you face compilation errors, try this way:

cv::Mat image1;
IplImage* image2;
image2 = cvCreateImage(cvSize(image1.cols,image1.rows),8,3);
IplImage ipltemp=image1;
cvCopy(&ipltemp,image2);

Answer 3

Here is the recent fix for dlib users link

cv::Mat img = ...
IplImage iplImage = cvIplImage(img);

Answer 4

 (you have cv::Mat old)
 IplImage copy = old;
 IplImage* new_image = ©

you work with new as an originally declared IplImage*.

Answer 5

One problem might be: when using external ipl and defining HAVE_IPL in your project, the ctor

_IplImage::_IplImage(const cv::Mat& m)
{
    CV_Assert( m.dims <= 2 );
    cvInitImageHeader(this, m.size(), cvIplDepth(m.flags), m.channels());
    cvSetData(this, m.data, (int)m.step[0]);
}

found in ../OpenCV/modules/core/src/matrix.cpp is not used/instanciated and conversion fails.

You may reimplement it in a way similar to :

IplImage& FromMat(IplImage& img, const cv::Mat& m)
{
    CV_Assert(m.dims <= 2);
    cvInitImageHeader(&img, m.size(), cvIplDepth(m.flags), m.channels());
    cvSetData(&img, m.data, (int)m.step[0]);
    return img;
}

IplImage img;
FromMat(img,myMat);

Answer 6

cv::Mat is the new type introduce in OpenCV2.X while the IplImage* is the "legacy" image structure.

Although, cv::Mat does support the usage of IplImage in the constructor parameters, the default library does not provide function for the other way. You will need to extract the image header information manually. (Do remember that you need to allocate the IplImage structure, which is lack in your example).