Image-processing technique to detect carbonation regions of concrete sprayed with a phenolphthalein solution

•Image-processing technique to detect carbonation regions of concrete is developed.•The proposed algorithm consists of primary and secondary detection processes.•The proposed algorithm is capable of the accurate detection of carbonated regions. The carbonation of concrete is one of the factors influ...

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Bibliographic Details
Published in:Construction & building materials 2017-11, Vol.154, p.451-461
Main Authors: Choi, Jeong-Il, Lee, Yun, Kim, Yun Yong, Lee, Bang Yeon
Format: Article
Language:English
Subjects:
Analysis
Carbonates
Carbonation
Concrete
Durability
Image-processing
Mechanical properties
Methods
Phenolphthalein solution
Phenols (Class of compounds)
Reinforced concrete
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Summary:•Image-processing technique to detect carbonation regions of concrete is developed.•The proposed algorithm consists of primary and secondary detection processes.•The proposed algorithm is capable of the accurate detection of carbonated regions. The carbonation of concrete is one of the factors influencing the durability of reinforced concrete members or structures. Manual measurements can reportedly induce low reproducibility when measuring carbonation depths. This study presents a new image-processing algorithm for the automatic detection of carbonated regions of concrete sprayed with a phenolphthalein solution. The proposed image-processing algorithm consists of a primary detection process based on binarization and a morphology analysis and a secondary detection process based on a convex hull. A series of tests of images of carbonated concrete sprayed with the phenolphthalein solution is conducted to assess the validity of the proposed image-processing algorithm. The validation test results showed that the proposed image-processing algorithm is capable of the accurate detection of carbonated concrete regions compared to direct visual inspections.
ISSN:0950-0618
1879-0526
DOI:10.1016/j.conbuildmat.2017.07.205