Crack Identification Based on Computer Vision
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Processes".
Deadline for manuscript submissions: 1 June 2025 | Viewed by 83
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the construction and operation of traffic and geotechnical structures, the generation of cracks on the surfaces of structures and rock masses poses a significant threat to the safety of engineering. The accurate identification of cracks is essential in evaluation safety in a timely manner and enhancing the stability of engineering. Driven by the vigorous development of computer performance, computer vision technology takes the initiative in the realization of the above goals. Therefore, the aim of this Special Issue is to present the application of novel technology and concepts based on computer vision in crack identification.
The scope of this Special Issue includes, but is not limited to, the following topics: crack detection in civil structures, crack identification in surface or underground rock mass, crack detection in concrete structures, the identification of the location of material fatigue crack initiation, railway track visual inspection and crack detection, pavement crack detection and identification, bridge crack automatic detection, and crack identification in other transportation infrastructure surfaces. In addition, we welcome the submission of articles that present research on the combination of computer vision techniques and artificial intelligence models.
Dr. Chuanqi Li
Guest Editor
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Keywords
- computer vision
- crack identification
- artificial intelligence models
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