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Install and Use Computer Vision Toolbox Interface for OpenCV in MATLAB

Installation

After you install third-party support files, you can use the data with the Computer Vision Toolbox™ product. To install the Add-on support files, use one of the following methods:

If you are viewing the current page using installed documentation, click

Select Get Add-ons from the Add-ons drop-down menu from the MATLAB^® desktop. The Add-on files are in the “bat365 Features” section.
Type visionSupportPackages in a MATLAB Command Window and follow the prompts.

Note

You must have write privileges for the installation folder.

When a new version of MATLAB software is released, repeat this process to check for updates. You can also check for updates between releases.

Support Package Contents

The Computer Vision Toolbox Interface for OpenCV in MATLAB support files are installed in the visionopencv folder. To find the path to this folder, type the following command:

fileparts(which('mexOpenCV'))

The visionopencv folder contain these files and folder.

Files	Contents
`clibopencv` folder	Prebuilt utility functions based on the MATLAB `clib` package for OpenCV interface.
`mexOpenCV.m` file	Function to build MEX-files.
`example` folder	Template Matching, Foreground Detector, and Oriented FAST and Rotated BRIEF (ORB) examples using MEX-files. Each subfolder in the example folder contains a `README.txt` file with step-by-step instructions.
`registry` folder	Registration files.
`README.txt` file	Help file.

The mex function uses prebuilt OpenCV libraries, which ship with the Computer Vision Toolbox product. Your compiler must be compatible with the one used to build the libraries. The following compilers are used to build the OpenCV libraries for MATLAB host:

Operating System	Compatible Compiler
Windows^® 64 bit	Microsoft^® Visual Studio^® 2015 or later (Professional or Community editions)
Linux^® 64 bit	gcc-4.9.3 (g++)
Mac 64 bit	Xcode 6.2.0 (Clang++)