Foreign Detection based on Wavelet Transform Algorithm with Image Analysis Mechanism in The Inner Wall of The Tube

Jinlong Zhu; Fanhua Yu; Mingyu Sun; Dong Zhao; Qingtian Geng

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자료유형: 학술저널

저자정보: Jinlong Zhu Fanhua Yu Mingyu Sun Dong Zhao Qingtian Geng

저널정보: 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제15권 제1호

발행연도: 2019.1

수록면: 34 - 46 (13page)

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A method for detecting foreign substances in mould based on scatter grams was presented to protect mouldsautomatically during moulding production. This paper proposes a wavelet transform foreign detection methodbased on Monte Carlo analysis mechanism to identify foreign objects in the tube. We use the Monte Carlomethod to evaluate the image, and obtain the width of the confidence interval by the deviation statistical grayhistogram to divide the image type. In order to stabilize the performance of the algorithm, the high-frequencyimage and the low-frequency image are respectively drawn. By analyzing the position distribution of the pixelgray in the two images, the suspected foreign object region is obtained. The experiments demonstrate theeffectiveness of our approach by evaluating the labeled data.

참고문헌 (22)

참고문헌 신청

Y. Qin / 2011 / tudy of on-line inspection technique for foreign substance in Ampoule / Proceedings of International Conference on Artificial Intelligence, Management Science and Electronic Commerce :4342~4345

Y. Qin / 2012 / Inspection of small moving foreign substances in ampoule based on cascade classifiers / Optics and Precision Engineering 20(1):190~196

H. T. Chou / 2005 / Foreign substance inspection apparatus / U.S. Patent 6977721

L. Zhang / 2010 / An improved region growing algorithm and its application of foreign substances inspection / Nondestructive Testing 32(7):490~492

F. Mao / 2009 / Inspection of foreign substances in mould using image scattergrams and multi-resolution analysis / Journal of Zhejiang University(Engineering Science) 43(10):1749~1756

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