Application of Edge Detection Technique for Concrete Surface Crack Detection

Prasetyo, Andrew; Yuniarto, Eko Mulyanto; Suprobo, Priyo; Tambusay, Asdam

doi:10.1109/isitia56226.2022.9855280

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…The cracks are detected through canny and hyperbolic tangent filters, and one can see that it can identify cracks along with other edges and corners. It is a common technique for image processing, on which more work can be found by various researchers [101][102][103][104][105][106][107][108][109].…”

Section: Edge Detectionmentioning

confidence: 99%

Review of Image-Processing-Based Technology for Structural Health Monitoring of Civil Infrastructures

Kim,

Choi,

Kim

et al. 2024

J. Imaging

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The continuous monitoring of civil infrastructures is crucial for ensuring public safety and extending the lifespan of structures. In recent years, image-processing-based technologies have emerged as powerful tools for the structural health monitoring (SHM) of civil infrastructures. This review provides a comprehensive overview of the advancements, applications, and challenges associated with image processing in the field of SHM. The discussion encompasses various imaging techniques such as satellite imagery, Light Detection and Ranging (LiDAR), optical cameras, and other non-destructive testing methods. Key topics include the use of image processing for damage detection, crack identification, deformation monitoring, and overall structural assessment. This review explores the integration of artificial intelligence and machine learning techniques with image processing for enhanced automation and accuracy in SHM. By consolidating the current state of image-processing-based technology for SHM, this review aims to show the full potential of image-based approaches for researchers, engineers, and professionals involved in civil engineering, SHM, image processing, and related fields.

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