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

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 spec...

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Hauptverfasser:	Suo Xuesong, Yuhong Zhou
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Data mining Frequency Genetic programming Image processing Image recognition Image storage Partial discharges Pattern recognition PRPD mode Pulse power systems Signal processing Template matching
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creator	Suo Xuesong Yuhong Zhou
description	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.
doi_str_mv	10.1109/JCAI.2009.74
format	Conference Proceeding
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Data mining Frequency Genetic programming Image processing Image recognition Image storage Partial discharges Pattern recognition PRPD mode Pulse power systems Signal processing Template matching
title	Gray Intensity Images Processing for PD Pattern Recognition Based on Genetic Programming
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