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

Marat Enikeev | Zendy; Irek Gubaydullin | Zendy; М. А. Малеева | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Marat Enikeev,

Irek Gubaydullin,

М. А. Малеева

Publication year - 2017

Publication title -

engineering journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.246

H-Index - 20

ISSN - 0125-8281

DOI - 10.4186/ej.2017.21.4.183

Subject(s) - corrosion , process (computing) , materials science , metallurgy , computer science , engineering , programming language

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research