Code for Article "Run MATLAB Image Processing Algorithms on Raspberry Pi and NVIDIA Jetson"

Version 2.0.0.0 (1.77 MB) by Murat Belge
The MATLAB® code, images and CUDA® code referenced in the technical article.
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Updated 6 Mar 2018

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This article introduces a framework for rapid prototyping image processing
algorithms on Raspberry Pi and NVIDIA Jetson hardware platforms. The MATLAB
code for a chroma keying algorithm is provided together with images used in the
article and helper code used in deploying the MATLAB code to hardware.
Read the white paper here.
https://www.mathworks.com/company/newsletters/articles/run-matlab-image-processing-algorithms-on-raspberry-pi-and-nvidia-jetson.html

Cite As

Murat Belge (2026). Code for Article "Run MATLAB Image Processing Algorithms on Raspberry Pi and NVIDIA Jetson" (https://se.mathworks.com/matlabcentral/fileexchange/66043-code-for-article-run-matlab-image-processing-algorithms-on-raspberry-pi-and-nvidia-jetson), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2017b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Generate Code and Deploy Deep Neural Networks in Help Center and MATLAB Answers
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Acknowledgements

Inspired by: Run on Hardware

technical_article/

Version Published Release Notes
2.0.0.0

Added 'greenScreenFrame.jpg'.
1.0.0.0

Added thumbnail image.