Citation

Wong, B Stephen and Wang, Xin and Koh, Chen Ming and Tui, Chen Guan and Tan, Chingseong and Xu, Jian (2011) Crack detection using image processing techniques for radiographic inspection of aircraft wing spar. Insight - Non-Destructive Testing and Condition Monitoring, 53 (10). pp. 552-556. ISSN 13542575

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Abstract

Radiographic inspection is one of the most important non-destructive inspection methods for aircraft wing spar inspection. Traditionally, radiographic inspection is time and manpower consuming. In addition, human inspection of cracks and damage based on film radiography is very subjective, inconsistent and sometimes biased. To improve the speed and efficiency of radiographic inspection, digital X-ray systems are gaining popularity over traditional film-based X-ray. Digital radiography has emerged as a leading technology for aircraft inspection. Therefore, it is desirable to develop a computer-aided system to assist in the interpretation of digital radiographic images to increase the objectivity, accuracy and efficiency of radiographic interpretation. In this paper, a crack detection algorithm using region of interest (ROI) minimisation, thresholding and edge detection techniques is developed for radiographic inspection of an aircraft wing spar.

Item Type:	Article
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	09 Jan 2012 04:02
Last Modified:	09 Jan 2012 04:02
URII:	http://shdl.mmu.edu.my/id/eprint/3337

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