Research on Automatic Crack Detection for Concrete Infrastructures Using Image Processing and Deep Learning

Automatic crack detection is a critical task in the generation of a crack map for existing concrete infrastructure inspection. This paper describes an automatic crack detection and classification method based on a genetic algorithm (GA) for optimizing image processing technique parameters (IPTs). Under various complex photometric conditions, the crack detection results of concrete infrastructure surface […]

Vision-based Measurement of Geometric Parameters of Cracks in Concrete

The geometrical parameters of a cracked concrete surface are estimated using an optical microscope and an 8-bit RGB image generated with a high resolution camera based on close distance photography. The image’s pixel intensity distribution can be used to determine factors such as fracture breadth, depth, and shape. To estimate the crack’s geometrical dimensions, the […]