OpenCV: IplImage versus Mat, which to use?

I’m pretty new to OpenCV (about 2 months now). I have the book Learning OpenCV by Bradski and Kaehler. My question is, if I want to do everything in a 2.0+ manner, when should I use Matrices (Mat) and when should I use IplImage?

Bradky’s book states upfront (Preface) that it’s written based on OpenCV 2.0, and it mostly uses IplImage in its sample code, but the more recent online documentation makes it sound like Mat is now a catch-all data type for images, masks, etc, kind of like a basic matrix in Matlab. This leaves me wondering if IplImage should be considered obsolete.

So, should I be totally avoiding IplImages when writing new code? Or is there important stuff IplImages allow me to do that Mats do not?

Thanks.

Answer

IplImage has been in OpenCV since the very beginning. It is a part of the C interface for OpenCV. You need to allocate and deallocate memory for IplImage structures yourself. (remember the cvReleaseImage commands?)

The new Mat structure is a part of the C++ structure. So obviously it is object oriented. Also, it manages all memory for you! It keeps a track of references to it. Then the number of references goes to zero, it deallocates automatically. This is one superb feature!

Go for Mat. It should be easy to translate code from the IplImage thingy to the Mat thingy if you are using some IDE that has Intellisense (it drops down a list of possible functions, variables, etc as you type)

Attribution
Source : Link , Question Author : SSilk , Answer Author : Utkarsh Sinha