DocumentCode
3190088
Title
Beamlet Transform Based Pavement Image Crack Detection
Author
Wei, Na ; Zhao, Xiangmo ; Dou, XiaoYu ; Song, HongXun ; Wang, Tao
Author_Institution
Coll. of Inf. Eng., Chang´´an Univ., Xi´´an, China
Volume
1
fYear
2010
fDate
11-12 May 2010
Firstpage
881
Lastpage
883
Abstract
The complex nature of road images and weak signal make the detection of pavement cracks particularly difficult. An algorithm for pavement cracks detection based on Beamlet Transform is proposed. Beamlet transform is a new tool for high dimensional singularity analysis. First, the pavement surface image was segmented into unit image and transformed to binary image. Then beamlet transform was performed. Experimental results show the proposed method is effective in detecting line features with any orientation, location and length in pavement images. Compared with traditional edge detectors, the proposed method has the ability of anti-noise and linear connection.
Keywords
crack detection; edge detection; image segmentation; roads; structural engineering; surface cracks; wavelet transforms; beamlet transform; edge detection; image segmentation; pavement image; singularity analysis; surface crack detection; Asphalt; Automation; Education; Educational institutions; Image edge detection; Image segmentation; Information technology; Road transportation; Surface cracks; Vehicle detection; beamlet transform; crack detection; multi-scale analysis; pavement surface image;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4244-7279-6
Electronic_ISBN
978-1-4244-7280-2
Type
conf
DOI
10.1109/ICICTA.2010.755
Filename
5522600
Link To Document