基于小波变换和形态学细化算法的真空电弧形态检测

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Abstract The morphological characteristics of the vacuum switching arc(VSA) is the reflection of the arc characteristics, which is directly related to the breaking capacity of the vacuum switch.In order to examine the burning procedure and the morphology characteristics of VSA, an image acquisition system is established and the combusting images are recorded through the high speed CCD camera.An algorithm based on wavelet transform and morphology edge thinning is used to extract the morphology characteristics of VSA images, mainly including 2D decomposition and reconstruction, multi-scale edge detection and edge thinning.The experimental results by the new method arecompared with those detected by the classical operators and the multi-scale method.The result indicates that the multi-scale edge thinning algorithm based on wavelet transformcan can obtain more complete, more detailed features, which provides the technical foundation for the research of VSA.

Key words： Vacuum switching arc(VSA) wavelet transform morphology detection multi-scale edgethinning

Received: 03 February 2015 Published: 29 June 2015

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TM561

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	Tian Xiaojing
	Feng Yu
	Guo Yingjie
	Zhao Liang
	Dong Huajun

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Tian Xiaojing,Feng Yu,Guo Yingjie等. Morphological Detection of Vacuum Switching Arc Based on Wavelet Transform and Morphology Edge Thinning[J]. Transactions of China Electrotechnical Society, 2015, 30(11): 110-114.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2015/V30/I11/110

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