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Grain Boundaries and Phases Identification of Metallographic Images by a Normalized Sobel Operation and the Edge Thinning Process for Further Numerical Simulation

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Abstract

The recognitions of phases and precise grain boundaries based on metallographic images are useful for conducting micromechanical simulations, such as finite element analysis and peridynamics. In this work, those processes are automatized by using a Sobel operator for identifying edges, which is normalized by different proposed Gaussian filters (on intensity, rugosity, or both). After that, a threshold is used to discretize the edges. Different neighboring pixel configurations, sensitive to edge intensity, are proposed for thinning and cleaning the discretized edges, and hence, grain boundaries with a one-pixel thickness are obtained. Then, the phase is selected by averaging color of each delimited grain. Finally, the precision on the phase recognition was found to increase from 75.61 to 83.6% for the unmodified and the normalized Sobel operator, respectively.

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Acknowledgements

The authors acknowledge the Centro de Investigación en Corrosión of the Universidad Autónoma de Campeche for easing this work. This study has been funded by the Secretaría de Educación Pública of México, under the Project 511-6/18-8491 of the Apoyo a la incorporación de NPTC.

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  1. Centro de Investigación en Corrosión, Universidad Autónoma de Campeche, Av. Héroe de Nacozari 480, 24079, Campeche, Campeche, Mexico

    G. Domínguez-Rodríguez, J. A. González-Sánchez, J. Rosado-Carrasco & G. Canto

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  1. G. Domínguez-Rodríguez
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  2. J. A. González-Sánchez
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Domínguez-Rodríguez, G., González-Sánchez, J.A., Rosado-Carrasco, J. et al. Grain Boundaries and Phases Identification of Metallographic Images by a Normalized Sobel Operation and the Edge Thinning Process for Further Numerical Simulation. Met. Mater. Int. 26, 1306–1317 (2020). https://doi.org/10.1007/s12540-019-00380-6

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