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HCCD: Haar-Based Cascade Classifier for Crack Detection on a Propeller Blade

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First International Conference on Sustainable Technologies for Computational Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1045))

Abstract

Crack detection in aircraft components is an important assessment because even a small unnoticed crack tends to critical crack length. Aviation demands reliability, and therefore, periodical inspection of cracks in aircraft parts like engine turbine blade, aircraft skin, rivets, wing spar, bulk fuselage, and airwings has to be detected in a fixed interval, but it requires human effort and expert’s knowledge. Features are extracted using extended Haar-like features and it has been given as input to cascade classifier to classify cracks and non-cracks images of a propeller blade. The supervised learning algorithm is developed and trained by a set of positive and negative images. The experimental results validate the test images by the cascading classifier to locate cracks.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India

    R. Saveeth

  2. Department of Electronics and Communication Engineering, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India

    S. Uma Maheswari

Authors
  1. R. Saveeth
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  2. S. Uma Maheswari
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Corresponding author

Correspondence to R. Saveeth .

Editor information

Editors and Affiliations

  1. Department of Electrical and Communication Engineering, The Papua New Guinea University of Technology, Lae, Papua New Guinea

    Ashish Kumar Luhach

  2. Neumann János University, Kecskemét, Bács-Kiskun, Hungary

    Janos Arpad Kosa

  3. Amity University, Jaipur, Rajasthan, India

    Ramesh Chandra Poonia

  4. School of Computing, University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  5. Department of Computer Science, Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

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Saveeth, R., Uma Maheswari, S. (2020). HCCD: Haar-Based Cascade Classifier for Crack Detection on a Propeller Blade. In: Luhach, A., Kosa, J., Poonia, R., Gao, XZ., Singh, D. (eds) First International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1045. Springer, Singapore. https://doi.org/10.1007/978-981-15-0029-9_33

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