Research of image segmentation algorithm applied to concrete bridge cracks

Author

Hongke Xu ; Yuan Tian ; Shan Lin ; Shichao Wang

Author_Institution

Inst. of Electr. & Control Eng., Chang´an Univ., Xi´an, China

fYear

2013

fDate

23-25 March 2013

Firstpage

1637

Lastpage

1640

Abstract

In order to improve the efficiency of bridge crack detection, research of crack detection method based on image processing is conducted in this paper. Basic characteristics of bridge cracks image are illustrated, theory of crack detection based on image processing is applied to the original image pretreatment. This paper focuses on using gray threshold iteration method and canny iteration method to achieve crack extraction, and filter parameters of canny iterative algorithm are improved. Accuracy of the two algorithms are compared and analyzed after experiment, results show that the improved canny crack extraction algorithm can gain better effect.

Keywords

bridges (structures); concrete; feature extraction; image segmentation; iterative methods; bridge crack detection; canny crack extraction algorithm; canny iterative algorithm; concrete bridge cracks; filter parameters; gray threshold iteration method; image pretreatment; image processing; image segmentation algorithm; Adaptive filters; Bridges; Concrete; Gray-scale; Image edge detection; Image segmentation; Iterative methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Technology (ICIST), 2013 International Conference on

Conference_Location

Yangzhou

Print_ISBN

978-1-4673-5137-9

Type

conf

DOI

10.1109/ICIST.2013.6747851

Filename

6747851