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Fuzzy Morphological Filters for Processing of Printed Circuit Board Images

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Pattern Recognition and Information Processing (PRIP 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1055))

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Abstract

The paper describes evaluation of effectiveness of morphological filters for removal of noise on images of layers of printed circuit boards by criteria of the minimum noise and computing complexity of filters and the minimum layout distortions. For assessment, the filters are applied with different parameters to a set of images on which a search and classification of defects of layout are carried out further.

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Acknowledgement

The work was partially supported by Belarusian Republican Foundation for Fundamental Research (project No. Ф19MC-032).

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Authors and Affiliations

  1. United Institute of Informatics Problems, Surganov st., 6, 220012, Minsk, Belarus

    Alexander Inyutin & Alexander Doudkin

Authors
  1. Alexander Inyutin
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  2. Alexander Doudkin
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Correspondence to Alexander Inyutin .

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Editors and Affiliations

  1. Belarusian State University, Minsk, Belarus

    Sergey V. Ablameyko

  2. Belarusian State University, Minsk, Belarus

    Viktor V. Krasnoproshin

  3. Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus

    Maryna M. Lukashevich

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Inyutin, A., Doudkin, A. (2019). Fuzzy Morphological Filters for Processing of Printed Circuit Board Images. In: Ablameyko, S., Krasnoproshin, V., Lukashevich, M. (eds) Pattern Recognition and Information Processing. PRIP 2019. Communications in Computer and Information Science, vol 1055. Springer, Cham. https://doi.org/10.1007/978-3-030-35430-5_17

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  • DOI: https://doi.org/10.1007/978-3-030-35430-5_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35429-9

  • Online ISBN: 978-3-030-35430-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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