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Crack Detection in Welded Images: A Comprehensive Survey

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EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

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Abstract

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.

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Mohanasundari, L., Sivakumar, P. (2020). Crack Detection in Welded Images: A Comprehensive Survey. In: Haldorai, A., Ramu, A., Mohanram, S., Onn, C. (eds) EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-19562-5_34

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  • DOI: https://doi.org/10.1007/978-3-030-19562-5_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19561-8

  • Online ISBN: 978-3-030-19562-5

  • eBook Packages: EngineeringEngineering (R0)

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