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

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

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e 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.

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

Metal corrosion, pitting corrosion, computer vision, image processing, fractal analysis.

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