This paper presents a high-speed image processing algorithm applied to multifaceted asymmetric radiation from the edge detection on Joint European Torus. The algorithm has been developed in C/C++ language using the OpenCV library for image processing and the LibSVM library for pattern classification and has been tested on a dedicated Intel 64-bit Linux computing platform. The code implemented achieves at the same time high accuracy and good run-time performance. The final version presents a correct detection rate of 93.3 % and an average image processing rate of 650 frames per second. A complete analysis of each image processing module is presented to illustrate the overall characteristics and performance of the algorithm. © 2012 IEEE.
All Science Journal Classification (ASJC) codes
- Nuclear and High Energy Physics
- Condensed Matter Physics
De Albuquerque, M. P., Chacon, G. T., De Faria, E. L., & Murari, A. (2012). High-speed image processing algorithms for real-time detection of MARFEs on JET. IEEE Transactions on Plasma Science, 40(12), 3485 - 3492. . https://doi.org/10.1109/TPS.2012.2223235