Crack Detection in Welded Images: A Comprehensive Survey

  • L. Mohanasundari
  • P. Sivakumar
Conference paper
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)


This chapter presents a review on the different crack detection techniques. Welding crack detection plays a vital role in engineering applications. Some of this application includes engineering machinery, ships, civil infrastructure, etc. The complexities of the weld structure, the disparity of the welded materials, the variation in surface thermal radiation and the angle between the crack and the weld are found to be the major factors in crack detection. The intention of this survey is to find the improved performance metric like accuracy, sensitivity and specificity in different image processing techniques.


Radiographic image Welding defect Classification Segmentation Enhancement Neural network Fuzzy Genetic algorithm 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • L. Mohanasundari
    • 1
  • P. Sivakumar
    • 2
  1. 1.Department of Electronics and Communication EngineeringKingston Engineering CollegeVelloreIndia
  2. 2.Department of Electronics and Communication EngineeringDr. N.G.P Institute of TechnologyCoimbatoreIndia

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