Vision-Based Industrial X-Ray Film Digitizing and Automatic Identification System

Article Preview

Abstract:

In this paper, a set of industrial X-ray film digitizing and automatic identification system is established with machine vision equipment. With this system, the industrial film can be digitalized rapidly and in high space resolution reaching to 860 DPI. The machine vision equipment includes linear CCD, light source, lens, aperture and film-moving machine. The controller is a master-slave mode, which includes a PC as the upper computer and an embedded system as the lower computer. The embedded system is composed by ARM and FPGA modules, which can control four axis motors and transmit an external trigger signals to the CCD in real-time. At last, a series of image processing algorithm is also developed in this paper to identify an industrial film that is captured to test coupling alignment of the casing pipes. The testing accuracy is 0.06mm.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

973-978

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] M. Schaefer M. Purschke. Full automated X-ray system: reliable and economic [J]. QualitAat and Zuverl Aassigkeit, 1991, 36(7).

Google Scholar

[2] Zhao Xiaodong, Cai Jiangang etal. X-ray digital imaging detection system for aeronautic part [J]. Experimental Study, 2013, Volume35: 57-59.

Google Scholar

[3] Timor-Tritsch IE, Monteagudo A,Tsymbal T. Three-dimensional ultrasound inversion rendering technique facilitates the diagnosis of hydrosalpinx [J]. J Clin Ultrasound, 2010, 38(7): 372-386.

DOI: 10.1002/jcu.20707

Google Scholar

[4] Wang Guangkun, Wang Hualong etal. X-ray DR Technology in the Detection of Aluminum Alloy Castings [J], Imaging Technology. 2012, Volume6: 47-55.

Google Scholar

[5] Fang Jun, Chang Lihan. Application of DR real-time imaging to head-weld detection petro-chemical equipment [J]. 2013, 5, Volume 42, NO. 3.

Google Scholar

[6] Zhou Guangxiang, Zheng Dequan. Research on CR Technology for Ultrathin Welded Bearing Structure Products and Its Application [J], Machine Building Automation. 2013, 6, 42(4): 21-25.

Google Scholar

[7] Gao Yuling, Ma Yan, Liu Yan-ping etal. The Application of Industrial CT technology intelligent identification and the vision of three-dimensional display explosive charge defective [M], Mechanical Measurement and Testing Technology Symposium Papers album of 2013, 2013, Volume33: 163-166.

Google Scholar