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Using MATLAB with OpenCV

You can integrate the OpenCV computer vision library with MATLAB®, using the MEX interface, to perform algorithm development, data analysis, and numerical computation in MATLAB.

By integrating MATLAB and OpenCV you can:

  • Use and explore current research algorithms, whether they are implemented in MATLAB or OpenCV
  • Use OpenCV algorithms with the convenience of the data access, image acquisition, and visualization capabilities in MATLAB
  • Use MATLAB to explore, analyze, and debug designs that incorporate OpenCV algorithms

You can extend your work in MATLAB and OpenCV with Computer Vision System Toolbox. The toolbox provides MATLAB algorithms for feature extraction, motion detection, object detection, object tracking, and stereo vision. It also supports rapid prototyping with features like fixed-point arithmetic support and C-code generation.

Examples and How To

Software Reference

See also: Steve on Image Processing, image and video processing, image recognition, Face recognition, Object detection, Object recognition