Classification of graphite particles in metallographic images of cast irons – Quantitative image analysis versus deep learning

Authors

Alain Hazotte
Jacques Lacaze (ORCID: https://orcid.org/0000-0001-9295-508X)
Lionel Germain (ORCID: https://orcid.org/0000-0002-7738-6445)
Jon Sertucha (ORCID: https://orcid.org/0000-0002-0053-3785)

Institutions

Centre National de la Recherche Scientifique (FR)
Université Toulouse III - Paul Sabatier (FR)
Université Fédérale de Toulouse Midi-Pyrénées (FR)
Laboratoire d'Étude des Microstructures et de Mécanique des Matériaux (FR)
Centre Interuniversitaire de Recherche et d’Ingénierie des Matériaux (FR)
Université de Lorraine (FR)

Publication Details

Journal: Materials Characterization
Published: 2024-09-06
DOI: https://doi.org/10.1016/j.matchar.2024.114333
Citations: 12
Primary Topic: Welding Techniques and Residual Stresses
Type: article
Field-Weighted Citation Impact: 2.55

Funders

Université de Lorraine

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article

Classification of graphite particles in metallographic images of cast irons – Quantitative image analysis versus deep learning

Alain Hazotte, Jacques Lacaze, Lionel Germain, Jon Sertucha

Sep 6, 2024

12 citations

Materials Characterization

Welding Techniques and Residual Stresses

2.55

article

Classification of graphite particles in metallographic images of cast irons – Quantitative image analysis versus deep learning

Alain Hazotte, Jacques Lacaze, Lionel Germain, Jon Sertucha

September 6, 2024article en

12 citations

Abstract

No abstract available for this paper.

Materials CharacterizationVol. 217

Centre National de la Recherche Scientifique (FR), Université Toulouse III - Paul Sabatier (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Laboratoire d'Étude des Microstructures et de Mécanique des Matériaux (FR), Centre Interuniversitaire de Recherche et d’Ingénierie des Matériaux (FR), Université de Lorraine (FR)

Université de Lorraine

Openalex Percentile: Top 11%

Welding Techniques and Residual Stresses

2.55

DOI Open Access PDF OpenAlex

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