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Automatic Processing of Microhardness Images Using Computer Vision Methods

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Abstract—

Many algorithms that are capable of determining the indent area in automatic processing of optical images of imprints have found application in hardness measurements using the Vickers method. A robust interactive algorithm based on the maximum separation of color image components in the indentation area and an unstrained surface is described. The efficiency and stability of the presented method are evaluated using indents on several materials with different morphology and deformation character.

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Funding

The study was supported by the Russian Foundation for Basic Research, scientific project no. 18-08-00558.

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Authors and Affiliations

  1. Technological Institute for Superhard and Novel Carbon Materials, 142190, Troitsk, Moscow, Russia

    A. P. Fedotkin, I. V. Laktionov, K. S. Kravchuk, I. I. Maslenikov & A. S. Useinov

  2. Moscow Institute of Physics and Technology, 141700, Dolgoprudnyi, Moscow oblast, Russia

    A. P. Fedotkin & I. V. Laktionov

Authors
  1. A. P. Fedotkin
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  2. I. V. Laktionov
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  3. K. S. Kravchuk
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  4. I. I. Maslenikov
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  5. A. S. Useinov
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Corresponding author

Correspondence to A. P. Fedotkin.

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Translated by N. Goryacheva

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Fedotkin, A.P., Laktionov, I.V., Kravchuk, K.S. et al. Automatic Processing of Microhardness Images Using Computer Vision Methods. Instrum Exp Tech 64, 357–362 (2021). https://doi.org/10.1134/S0020441221030180

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  • DOI: https://doi.org/10.1134/S0020441221030180

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