Title :
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
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;
Conference_Titel :
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4673-5137-9
DOI :
10.1109/ICIST.2013.6747851
