RC Bridge Concrete Surface Cracks and Bug-Holes Detection Using Smartphone Images Based on Flood-Filling Noise Reduction Algorithm
Noise reduction is a key process in digital image detection technology for concrete cracks and bug-holes. In this study, the threshold range of the flood-filling noise reduction algorithm was investigated experimentally. Surface cracks and bug-holes in RC bridge concrete were detected using mobile terminal images based on the flood-filling noise reduction algorithm. The results showed that the error range was within 10% when threshold range Θ was confined in [60, 80] as the crack width was from 0.1 mm to 2 mm. It is suitable that the threshold range Θ was selected as 70 while the measured crack width range was 0.2 mm to 2 mm. However, by reducing the values of the threshold range Θ to 50, the miscalculation was obviously eliminated. The influences of reducing values of the threshold range on bug-holes of the equivalent diameter and area were not significant. It is suitable that the threshold range Θ was elected on 50 to detect bug-holes in the concrete surface. The threshold range can be selected as a suitable value for the detection of cracks and bug-holes in order to reduce noise.
Authors
- Ziyang Cai
- Haimin Qian (ORCID: https://orcid.org/0000-0002-4398-7373)
- Honglei Sun (ORCID: https://orcid.org/0000-0002-5311-412X)
- Tongyuan Ni (ORCID: https://orcid.org/0000-0002-4904-9708)
- Fei Gao (ORCID: https://orcid.org/0000-0001-5229-9735)
- Ye Yuan (ORCID: https://orcid.org/0000-0002-0487-806X)
Institutions
- Shanghai Construction Group (China) (CN)
- Hangzhou City University
- Zhejiang University of Technology (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2024-11-02
- DOI
- https://doi.org/10.3390/app142110014
- Citations
- 2
- Primary Topic
- Infrastructure Maintenance and Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 0.52