Gray Intensity Images Processing for PD Pattern Recognition Based on Genetic Programming

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@InProceedings{Suo:2009:IITA-JCAI,
  author =       "Xuesong Suo and Yuhong Zhou",
  title =        "Gray Intensity Images Processing for PD Pattern
                 Recognition Based on Genetic Programming",
  booktitle =    "First IITA International Joint Conference on
                 Artificial Intelligence, 2009. JCAI '09",
  year =         "2009",
  month =        "25-26 " # apr,
  address =      "Hainan Island, China",
  pages =        "711--714",
  keywords =     "genetic algorithms, genetic programming, 2D gray
                 intensity image processing, 3D spectrum, feature
                 extraction, gray intensity image identification, phase
                 resolved partial discharge pattern recognition, search
                 algorithm, software flow chart, storage requirement,
                 transformer insulation, feature extraction, image
                 recognition, partial discharges, power engineering
                 computing, search problems, transformer insulation",
  isbn13 =       "978-0-7695-3615-6",
  DOI =          "doi:10.1109/JCAI.2009.74",
  abstract =     "Partial discharge (PD) gray intensity image is
                 regarded as the research object in this paper, a new
                 principle and method based on genetic programming is
                 proposed to extract PD features aiming at PRPD mode,
                 This article firstly introduces the PRPD mode and the
                 method to get the three-dimensional spectrum and
                 two-dimensional gray intensity image, then gray
                 intensity images identification technology based on
                 genetic programming is introduced, Furthermore, the
                 paper presents software flow chart of search algorithm
                 of gray intensity image recognition. Finally, the
                 results of experiment are given. Compared with the
                 original image recognition technology, this method
                 provides an effective pathway for the better
                 recognition in image information, Using this method,
                 the storage requirement and the calculation involved
                 may be reduced, the results show that it is
                 effective.",
  notes =        "Also known as \cite{5159102}",
}

Genetic Programming entries for Xuesong Suo Yuhong Zhou

Citations