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
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;
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
DOI :
10.1109/ICICTA.2010.755