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Extracted Haralick’s Texture Features for Abnormal Blood Cells

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Advances in Multidisciplinary Medical Technologies ─ Engineering, Modeling and Findings

Abstract

Extracted Haralick’s texture features from bio-images are a very vital task in textured image handling because the main source of information for interpretation of visual and semantic message to a human observer lies in the picture contours, segmented regions, and/or textures. These analyses consist of extracting some characteristic properties and express them in parametric form. This study depicts and implements textural analysis only using three Haralick’s features (HFs) or parameters to aid in diagnosis and to transmit relevant visual data, accurately and precisely. Among the HFs, one may found energy, contrast, and entropy, whose experimental results stemmed from calculating all these parameters within Matlab environment. The consequential encouraging results can aid medical specialists to (i) make a precise diagnosis and (ii) identify anomalies by distinguishing healthy and abnormal blood cells, which can be potentially cancerous cells. The outcomes of the experiments show its robustness and precision.

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Author information

Authors and Affiliations

  1. Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), Université Paris Est Créteil (UPEC), Créteil, France

    Abdellatif Bouzid-Daho & Patrick Siarry

  2. Centre Universitaire Naâma (CUN), Naâma, Algeria

    Naima Sofi

Authors
  1. Abdellatif Bouzid-Daho
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  2. Naima Sofi
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  3. Patrick Siarry
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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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Bouzid-Daho, A., Sofi, N., Siarry, P. (2021). Extracted Haralick’s Texture Features for Abnormal Blood Cells. 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_9

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  • DOI: https://doi.org/10.1007/978-3-030-57552-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57551-9

  • Online ISBN: 978-3-030-57552-6

  • eBook Packages: EngineeringEngineering (R0)

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