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The Improvement of Metallographic Images

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Image Processing and Communications Challenges 3

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 102))

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Summary

In this paper the problem of metallographic image processing is considered. It is developed a new approach to filtering a multiplicative noise (stria) on metallographic images. This approach is based on the spectral analysis of images and finding the spectral regions that carry information about stria. Also it is proposed a new approach to eliminate the deformation lines of the material on the metallographic images. This approach consists of deformation line localization algorithm and smoothing filtering procedure of localized regions.

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Author information

Authors and Affiliations

  1. Kazimierz Pułaski Technical University of Radom, Poland

    Rusyn Bogdan

  2. Karpenko Physical-Mechanical Institute of, Ukraine

    Lutsyk Oleksiy & Pokhmurskyy Andriy

  3. Chemnitz University of Technology, Germany

    Lampke Thomas & Nickel Daniela

Authors
  1. Rusyn Bogdan
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  2. Lutsyk Oleksiy
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  3. Pokhmurskyy Andriy
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  4. Lampke Thomas
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  5. Nickel Daniela
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Editor information

Editors and Affiliations

  1. Institute of Telecommunications, University of Technology & Life Sciences, ul.S.Kaliskiego 7, 85-791, Bydgoszcz, Poland

    Ryszard S. Choraś

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© 2011 Springer-Verlag Berlin Heidelberg

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Bogdan, R., Oleksiy, L., Andriy, P., Thomas, L., Daniela, N. (2011). The Improvement of Metallographic Images. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 3. Advances in Intelligent and Soft Computing, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23154-4_47

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  • DOI: https://doi.org/10.1007/978-3-642-23154-4_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23153-7

  • Online ISBN: 978-3-642-23154-4

  • eBook Packages: EngineeringEngineering (R0)

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