Analysis of Corrosion Process Development on Metals by Means of Computer Vision

Authors

  • Marat Enikeev
  • Irek Gubaydullin
  • Marina Maleeva

DOI:

https://doi.org/10.4186/ej.2017.21.4.183 Full article

Abstract

The paper deals with computer vision and image processing methods applied to the task of corrosion damage search. A step-by-step algorithm is given for processing of the data from a chemical corrosion experiment on a metal surface: image preprocessing, image binarization and identification of object contours, and analysis of object characteristics. The application of the developed methods is exemplified by detection and recognition of corrosion damage on a steel specimen, pitting corrosion, and corrosion of an aluminum specimen. Furthermore, the mechanism of fractal analysis for corrosion cracking specimens was studied and fractal dimension was selected as characteristics of corrosion damage.

Affiliations

  • Marat Enikeev Russian Academy of Science
  • Irek Gubaydullin Russian Academy of Science
  • Marina Maleeva Russian Academy of Science

Corresponding author: Marat Enikeev, enikeev.marat.rus@gmail.com

2258 2499

Author Biographies

  • Marat Enikeev

    Institute of Petrochemistry and Catalysis, Russian Academy of Science, Ufa, Russia

  • Irek Gubaydullin

    Institute of Petrochemistry and Catalysis, Russian Academy of Science, Ufa, Russia

  • Marina Maleeva

    Frumkin Institute of Physical Chemistry and Electrochemistry, Russian Academy of Science, Moscow, Russia

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How to Cite

[1]
M. Enikeev, I. Gubaydullin, and M. Maleeva, “Analysis of Corrosion Process Development on Metals by Means of Computer Vision”, Eng. J., vol. 21, no. 4, pp. 183–192, Jul. 2017, doi: 10.4186/ej.2017.21.4.183.

Citations

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Published

2017-07-31

Issue

Vol. 21 No. 4 (2017): Regular Issue

Section

Modern Engineering Technology

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