An Approach to the Detection of Post-seismic Structural Damage Based on Image Segmentation Methods

Cevallos-Torres, Lorenzo; Gilces, Diana Minda; Guijarro-Rodríguez, Alfonso A.; Barriga-Diaz, Ronald; Vázquez, Maikel Leyva; Botto-Tobar, Miguel

doi:10.1007/978-3-030-05532-5_49

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Xiao et al [5] proposed an improved median filtering algorithm based on differential threshold judgment, and used Otsu threshold segmentation method to extract cracks. Cevallos-Torres L J et al [6] compared different segmentation techniques and concluded that the Canny edge detection method provided the best evaluation technique. Secondly, the method of collecting information about the image was studied.…”

Section: Introductionmentioning

confidence: 99%

“…Shi et al [4,9] used the boundary extraction method based on chain code to obtain information such as the length, width, and area of cracks. Shen et al [2,5,6,10] used the skeleton method to determine the length and average width of cracks. The research results of the above researchers provide an important theoretical and practical basis for future research on image processing.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Bridge Damage Visualization Technique Based on Image Processing Technology and the IFC Standard

et al. 2023

View full text Add to dashboard Cite

As an important part of the traffic infrastructure, the bridge has attracted much attention for its health conditions. Bridge damage detection is an important way of evaluating bridge health conditions. However, the bridge damage could not be directly expressed by traditional bridge damage detection methods. With the emergence of new technologies and engineering applications, it is possible to achieve visual expression of bridge damages, improve the digitization of bridge detection, and promote sustainable development in bridge maintenance. In this paper, a method of bridge damage visualization based on image processing technology and the IFC standard description is proposed for common bridge damages. An existing cable-stayed bridge is taken as the engineering background, and the collected damage images are processed and analyzed utilizing cutting-edge technology to obtain specific damage information such as the length and width of bridge cracks and concrete defects. Then based on the IFC standard, the bridge damage and its attribute information are visualized and stored through an established REVIT model of the bridge.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%