Segmentation Method for Enhancing the Continuity and Integrality of Microcracks in Concrete Fracture XCT Image
Publication: Journal of Materials in Civil Engineering
Volume 34, Issue 3
Abstract
The integrality and connectivity of detected cracks are critical to quantitatively analyzing the fracture patterns of cementitious materials using X-ray computed tomography (XCT). Owing to noise, uneven gray values, pores, and other additions with gray values similar to those of the cracks in the raw images, image segmentation results of microcracks always have poor continuity and integrality. In this paper, a sophisticated image processing method is proposed to detect integral microcracks in XCT images accurately, and a reconnecting algorithm is proposed to enhance the continuity and integrality of microcracks in the concrete fracture XCT image. The analysis of XCT images of fractured rubber concrete samples verified that the method could visualize and quantitatively analyze the fracture pattern, demonstrating the method’s robustness.
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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 (No. U1801254/51727813/51925805) and the Project of Department of Education of Guangdong Province, China (No. 2018KZDXM060).
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Published In
Journal of Materials in Civil Engineering
Volume 34 • Issue 3 • March 2022
Copyright
© 2021 American Society of Civil Engineers.
History
Received: Dec 28, 2020
Accepted: Jul 14, 2021
Published online: Dec 24, 2021
Published in print: Mar 1, 2022
Discussion open until: May 24, 2022
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