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Insulator recognition based on moments invariant features and Cascade AdaBoost classifier
He SY(何思远); Wang L(王玲); Xia Y(夏泳); Tang YD(唐延东)
作者部门机器人学研究室
会议名称2013 2nd International Conference on Mechatronics and Control Engineering, ICMCE 2013
会议日期August 28-29, 2013
会议地点Dalian, China
会议主办者Queensland University of Technology; Korea Maritime University; Hong Kong Industrial Technology Research Centre; Inha University
会议录名称Applied Mechanics and Materials
出版者Trans Tech Publications Ltd,
出版地Zurich-Durnten, Switzerland
2013
页码362-367
收录类别EI ; CPCI(ISTP)
EI收录号20134716999007
WOS记录号WOS:000335121000071
产权排序1
ISSN号1660-9336
ISBN号978-3-03785-894-3
关键词Classification (Of Information) Median Filters Principal Component Analysis
摘要A method based on moments invariant features and cascade AdaBoost classifier for insulator recognition is put forward to solve the problem of poor performance of insulator recognition. At first, the insulator image is preprocessed by median filtering, dilating, eroding and Otsu thresholding. Then, for the better extraction of moments invariant features, the preprocessed insulator image is tilted correctly based on PCA (Principal Component Analysis). Next, the moments invariant features are extracted and chosen to compose complex classifier in the process of training AdaBoost. Finally, the complex AdaBoost classifiers are combined in a cascade method for insulator recognition. The results of experiments demonstrate that the proposed method can recognize the insulator from complex background in the mountainous area, and it has better robustness, accuracy and validity. © (2013) Trans Tech Publications, Switzerland.
语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13918
专题机器人学研究室
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He SY,Wang L,Xia Y,et al. Insulator recognition based on moments invariant features and Cascade AdaBoost classifier[C]//Queensland University of Technology; Korea Maritime University; Hong Kong Industrial Technology Research Centre; Inha University. Zurich-Durnten, Switzerland:Trans Tech Publications Ltd,,2013:362-367.
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