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Python Implementations of Saturation Peak Analysis (SPA) and Saturation Analysis (SAN)

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SaturationPeakAnalysis

This archive contains the Python implementation of the custom made smoke detection algorithms SAN and SPA, described in [1]. The files should be self explanatory and simply demonstrate the classification output of a desired input image with optional histogram output.

Requirements:

  • Python 2.7+ (packages: numpy)
  • OpenCV (Configured to work with Python)

Contact:

Andreas Leibetseder
Institute of Information Technology
Alpen-Adria University, Klagenfurt Austria
aleibets[at]itec.aau.at

Acknowledgements

This work was supported by Universität Klagenfurt and Lakeside Labs GmbH, Klagenfurt, Austria and funding from the European Regional Development Fund and the Carinthian Economic Promotion Fund (KWF) under grant KWF 20214 u. 3520/26336/38165.

License

This source code is licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) and is created as well as maintained by Distributed Multimedia Systems Group of the Institute of Information Technology (ITEC) at Alpen-Adria Universität in Klagenfurt, Austria. You are requested to cite the work that led to the creation of this code ([1]).

References

  1. A. Leibetseder, M. J. Primus, S. Petscharnig, K. Schoeffmann, Real-Time Image-based Smoke Detection in Endoscopic Videos, In Proceedings of Thematic Workshops’17 , ACM Multimedia 2017, doi: 10.1145/3126686.3126690

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Python Implementations of Saturation Peak Analysis (SPA) and Saturation Analysis (SAN)

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