Image-based retrieval of concrete crack properties for bridge inspection

By R. Adhikari, O. Moselhi, A. Bagchi. 2014

383 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure (2015, neutral): “Adhikari et al. [64] presented an change detection approach based on fourier transformation of the images, which could useful for detecting subtle defects such as periodic and sudden settlement of substructure.”
Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring (2019, neutral): “[84,85]), tunnel linings (e.g., Ref.”
Automated Crack Detection on Concrete Bridges (2016, methodology): “The need for stitching is discussed in [14] but only applied for two adjacent images.”
A review of computer vision–based structural health monitoring at local and global levels (2020, methodology): “Adhikari et al.(11) implemented projective geometry to calculate the crack densities of concrete bridges.”