Experimental Investigation on Image-Based Crack Recognition Characteristics

Hyun Woo Cho; Hyuk Jin Yoon; Jung Jun Park

doi:10.4028/www.scientific.net/AMR.1110.191

Paper Titles

Lüders Band Propagation Monitoring in Railway Steels
p.169

Dominant Variables for Hardening of Axle Shaft through High Frequency Induction Heating
p.173

Polarization Characteristics to Wear Ratio of Anti-Fouling Paint
p.179

A Review of Simple Methods for Arresting Crack Growth
p.185

Experimental Investigation on Image-Based Crack Recognition Characteristics
p.191

Deposition of IGZO or ITZO Thin Films by Co-Sputtering of IZO and GZO or ITO Targets
p.197

Eco-Friendly Glass Color Coating Process Using RF Magnetron Sputtering
p.203

Effect of Temperature on Optical and Photovoltaic Properties of nc-TiO₂ Thin Films for Dye Sensitized Solar Cell
p.207

Electrical and Optical Properties of ZnO:Ag Thin-Films Depend on Lamination Formation by DC Magnetron Sputtering
p.211

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1110Experimental Investigation on Image-Based Crack...

Experimental Investigation on Image-Based Crack Recognition Characteristics

Abstract:

The desire to ensure safety of the infrastructure such as bridge, dam, and tunnel while reducing maintenance time and costs in the civil engineering applications emerged. Image processing techniques may well represent a next step in the development of smart monitoring of crack. In this paper, a method to inspect the surface crack in a concrete structure using 2D image has been proposed. The standardized crack specimen which has different crack widths was manufactured and the crack images were taken at the object distance from 5 to 60 m with 5 m step. The characteristics of the several edge operators such as Sobel, Prewitt, Robert, Canny and LoG to recognize the crack were analyzed according to the object distance.

You might also be interested in these eBooks

Advanced Materials Development & Performance

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 1110)

Pages:

191-194

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1110.191

Citation:

Cite this paper

Online since:

June 2015

Authors:

Hyun Woo Cho, Hyuk Jin Yoon*, Jung Jun Park

Keywords:

Crack Inspection, Edge Operator, Image Analysis, Object Distance

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] R. Maini and H. Aggarwal, Study and comparison of various image edge detection techniques, International Journal of Image Processing (IJIP), Vol. 3 (2009) pp.1-11.

Google Scholar

[2] G. Shrivakshan and C. Chandrasekar, Comparison of various Edge Detection Techniques used in Image Processing, International Journal of Computer Science Issues (2012) Vol. 9 pp.103-106.

Google Scholar

[3] R. Crane, A Simplified Approach to Image Processing. Upper Saddle River, N.J.: Prentice Hall PTR, (1997).

Google Scholar

[4] R. C. Gonzalez and R. E. Woods, Digital Image Processing. Upper Saddle River, NJ: Prentice Hall, (2010).

Google Scholar