Technical Papers
Apr 20, 2022

Comparative Study on Backscattered Electron Image of Cement Paste Quantified by Frequency Histogram, Overflow and Gaussian Distribution Fitting Method

Publication: Journal of Materials in Civil Engineering
Volume 34, Issue 7

Abstract

Backscattered electron (BSE) images have been widely used to investigate the phases of cementitious materials. With the view of quantifying phases including pores, hydration products, and unreacted clinkers from the cementitious products, three quantification methods based on grey level thresholds have been proposed to segment phases from the BSE image. In this paper, these three phase-segmentation approaches, including frequency histogram method, overflow method, and Gaussian distribution method, are systematically studied and critically compared. Results show that the overflow method and the Gaussian distribution method outweigh the frequency histogram method in terms of human visual judgment, phases threshold, phases content, reconstructed image quality, and porosity. Furthermore, the overflow method seems to be more practical for phase quantification, producing comparable results to the Gaussian distribution method. The Gaussian distribution method possesses the potential for quantifying over three types of phases.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 52078293).

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Go to Journal of Materials in Civil Engineering
Journal of Materials in Civil Engineering
Volume 34Issue 7July 2022

History

Received: Mar 26, 2021
Accepted: Nov 1, 2021
Published online: Apr 20, 2022
Published in print: Jul 1, 2022
Discussion open until: Sep 20, 2022

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Ph.D. Candidate, Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, PR China. Email: [email protected]
Professor, Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, PR China; Professor, School of Civil Engineering, Univ. of Birmingham, Birmingham B15 2TT, UK (corresponding author). Email: [email protected]
Ph.D. Candidate, Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, PR China. Email: [email protected]
Ph.D. Candidate, Shanghai Key Laboratory for Digital Maintenance of Buildings and Infrastructure, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong Univ., Shanghai 200240, PR China. Email: [email protected]

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