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Nondestructive Diagnosis and Analysis of Computed Microtomography Images via Texture Descriptors

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Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings

Abstract

X-ray computed microtomography (μCT or micro-CT) allows a nondestructive analysis of samples, which helps their reuse. The X-ray μCT equipment offers the user several configuration options that change the quality of the images obtained, thus affecting the expected result. In this study, a methodology for analyzing X-ray μCT images generated by the SkyScan 1174 Compact Micro-CT equipment was developed. The basis of this analysis methodology is texture descriptors. Three sets of images were used, and then degradations and noise were applied to the original images, generating new images. Subsequently, the following texture descriptors assisted in scrutinizing the sets: maximum probability, the moment of difference, the inverse difference moment, entropy, and uniformity. Experiments show the outcomes of some tests.

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Author information

Authors and Affiliations

  1. IF Sudeste de Minas Gerais – Campus Juiz de Fora, Juiz de Fora, MG, Brazil

    Sandro R. Fernandes

  2. Universidade do Estado do Rio de Janeiro, Instituto Politécnico, Nova Friburgo, RJ, Brazil

    Joaquim T. de Assis

  3. Department of Telecommunications, Federal Fluminense University (UFF), Niterói, RJ, Brazil

    Vania Vieira Estrela

  4. Department of Electrical Engineering, Tafresh University, Tafresh, Iran

    Navid Razmjooy

  5. Angadi Institute of Technology & Management, Belgaum, India

    Anand Deshpande

  6. Dayananda Sagar University, Bengaluru, India

    P. Patavardhan

  7. Department of Computer Science and Engineering, Karunya University, Coimbatore, India

    R. J. Aroma & K. Raimond

  8. Universidade Estadual de Campinas, Campinas, SP, Brazil

    Hermes J. Loschi & Douglas A. Nascimento

  9. Uniwersytet Zielonogórski, Zielona Góra, Poland

    Hermes J. Loschi & Douglas A. Nascimento

Authors
  1. Sandro R. Fernandes
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  2. Joaquim T. de Assis
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  3. Vania Vieira Estrela
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  4. Navid Razmjooy
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  7. R. J. Aroma
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  10. Douglas A. Nascimento
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Correspondence to Sandro R. Fernandes .

Editor information

Editors and Affiliations

  1. Abou Bakr Belkaïd University of Tlemcen, Tlemcen, Algeria

    Abdeldjalil Khelassi

  2. Telecommunications Department, Federal Fluminense University (UFF), Duque de Caxias, Rio de Janeiro, Brazil

    Vania Vieira Estrela

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Fernandes, S.R. et al. (2021). Nondestructive Diagnosis and Analysis of Computed Microtomography Images via Texture Descriptors. In: Khelassi, A., Estrela, V.V. (eds) Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings. Springer, Cham. https://doi.org/10.1007/978-3-030-57552-6_16

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  • DOI: https://doi.org/10.1007/978-3-030-57552-6_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57551-9

  • Online ISBN: 978-3-030-57552-6

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