Automated crack detection for digital radiography aircraft wing inspection

Xin Wang, B. Stephen Wong, Ching Seong Tan, Chen Guan Tui

Research output: Journal PublicationArticlepeer-review

26 Citations (Scopus)


Radiography testing is one of the most important nondestructive testing (NDT) techniques for aircraft wing inspection. Traditionally, radiography inspection is time and manpower consuming work. In addition, human inspection of cracks and damage based on film radiography is very subjective, inconsistent, and sometimes biased. Digital radiography allows all the benefits of producing significant increases in magnification and image clarity, as well as efficient management of digital images. Therefore, it is desirable to develop a computer aided system to assist interpretation of radiographic images to increase the objectivity, accuracy, and efficiency of radiographic inspection. In this article, an automated crack detection algorithm using region of interest (ROI) minimization and improved Canny edge detection techniques is developed for aircraft wing inspection. Cracks of up to 2mm long on the aircraft wing around the fastener holes are detected automatically.

Original languageEnglish
Pages (from-to)105-127
Number of pages23
JournalResearch in Nondestructive Evaluation
Issue number2
Publication statusPublished - Apr 2011
Externally publishedYes


  • crack detection
  • digital radiography

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering


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