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Mura Defect Detection in Flat Panel Display Using B-Spline Approximation

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Mining Intelligence and Knowledge Exploration (MIKE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13119))

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Abstract

Flat panel display (FDP) devices continue to grow at rapid rate and quite popular as a promising technology and evolve various investment opportunity. In this paper, a machine vision approach has been proposed for automatic inspection of mura defects in film or glass of flat panel display device. The proposed method is based on a Mura filter using B-spline global approximation method. Experimental result shows that the detection of mura defect has been performed on images data with high speed computational techniques and obtained robust results.

Supported by organization LIBA Chennai.

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Authors and Affiliations

  1. Centre for Technology and Innovation, LIBA Chennai, Chennai, India

    Kishore Kunal, M. Ramasubramaniam & M. J. Xavier

  2. Jaypee Institute of Information Technology, Noida, India

    Pawan Kumar Upadhyay

Authors
  1. Kishore Kunal
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  2. Pawan Kumar Upadhyay
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  3. M. Ramasubramaniam
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  4. M. J. Xavier
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Corresponding author

Correspondence to Kishore Kunal .

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Editors and Affiliations

  1. Université de Pau et des Pays de l’Adour, Anglet, France

    Richard Chbeir

  2. Open University of Cyprus, Nicosia, Cyprus

    Yannis Manolopoulos

  3. Indian Institute of Information Technology Sri City, Chittoor, Andhra Pradesh, India

    Rajendra Prasath

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Kunal, K., Upadhyay, P.K., Ramasubramaniam, M., Xavier, M.J. (2022). Mura Defect Detection in Flat Panel Display Using B-Spline Approximation. In: Chbeir, R., Manolopoulos, Y., Prasath, R. (eds) Mining Intelligence and Knowledge Exploration. MIKE 2021. Lecture Notes in Computer Science(), vol 13119. Springer, Cham. https://doi.org/10.1007/978-3-031-21517-9_10

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  • DOI: https://doi.org/10.1007/978-3-031-21517-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21516-2

  • Online ISBN: 978-3-031-21517-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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