Crack detection using image processing techniques for radiographic inspection of aircraft wing spar

B. Stephen Wong, Xin Wang, Chen Ming Koh, Chen Guan Tui, Chingseong Tan, Jian Xu

Research output: Journal PublicationArticlepeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)552-556
Number of pages5
JournalInsight: Non-Destructive Testing and Condition Monitoring
Volume53
Issue number10
DOIs
Publication statusPublished - Oct 2011
Externally publishedYes

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Metals and Alloys
  • Materials Chemistry

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