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Damage Detection in Materials Based on Computer Vision Wavelet Algorithm

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Design and Computation of Modern Engineering Materials

Part of the book series: Advanced Structured Materials ((STRUCTMAT,volume 54))

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Abstract

Damage detection covers a wide range of different problems in a variety of technological, scientific and engineering fields. Solutions and reliability of results vary depending on the application and the field. This chapter explores the possibilities of application of computer vision in damage detection in materials. An example of damage detection in electronic components is presented, in which damage detection is based on the proposed computer vision wavelet algorithm. Furthermore, it proposes the incorporation of the algorithm in cloud service for industrial quality control. Results from the application of different wavelets are presented in the chapter.

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Notes

  1. 1.

    Built by Daubechies at the request of Coifman. The wavelet function has 2N moments equal to zero. The scaling function has 2N − 1 moments equal to zero.

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Authors and Affiliations

  1. Faculty of Maritime Studies, University of Split, Zrinsko-Frankopanska 38, 21000, Split, Croatia

    Ivica Kuzmanić, Igor Vujović & Joško Šoda

Authors
  1. Ivica Kuzmanić
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  2. Igor Vujović
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  3. Joško Šoda
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Corresponding author

Correspondence to Ivica Kuzmanić .

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Editors and Affiliations

  1. Griffith School of Engineering, Griffith University, Parklands Drive, 4214 Southport Queensland, Queensland, Australia

    Andreas Öchsner

  2. Fakultät für Maschinenbau, Lehrstuhl für Technische Mechanik, Otto-von-Guericke-Universität Magdeburg, 2 Universitätsplatz, 39106 Magdeburg, Germany

    Holm Altenbach

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Kuzmanić, I., Vujović, I., Šoda, J. (2014). Damage Detection in Materials Based on Computer Vision Wavelet Algorithm. In: Öchsner, A., Altenbach, H. (eds) Design and Computation of Modern Engineering Materials. Advanced Structured Materials, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-319-07383-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-07383-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07382-8

  • Online ISBN: 978-3-319-07383-5

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