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 and Qingtian Geng
Volume: 15, No: 1, Page: 34 ~ 46, Year: 2019
10.3745/JIPS.02.0106
Keywords: Foreign Substance Inspection, Monte Carlo, Wavelets Transform
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Abstract
A method for detecting foreign substances in mould based on scatter grams was presented to protect moulds automatically during moulding production. This paper proposes a wavelet transform foreign detection method based on Monte Carlo analysis mechanism to identify foreign objects in the tube. We use the Monte Carlo method to evaluate the image, and obtain the width of the confidence interval by the deviation statistical gray histogram to divide the image type. In order to stabilize the performance of the algorithm, the high-frequency image and the low-frequency image are respectively drawn. By analyzing the position distribution of the pixel gray in the two images, the suspected foreign object region is obtained. The experiments demonstrate the effectiveness of our approach by evaluating the labeled data.

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Cite this article
IEEE Style
J. Zhu, F. Yu, M. Sun, D. Zhao and Q. Geng, "Foreign Detection based on Wavelet Transform Algorithm with Image Analysis Mechanism in The Inner Wall of The Tube," Journal of Information Processing Systems, vol. 15, no. 1, pp. 34~46, 2019. DOI: 10.3745/JIPS.02.0106.

ACM Style
Jinlong Zhu, Fanhua Yu, Mingyu Sun, Dong Zhao, and Qingtian Geng. 2019. Foreign Detection based on Wavelet Transform Algorithm with Image Analysis Mechanism in The Inner Wall of The Tube, Journal of Information Processing Systems, 15, 1, (2019), 34~46. DOI: 10.3745/JIPS.02.0106.