Title :
Recognition of pavement surface crack
Author :
Zhang, Pengyu ; Li, Hong
Author_Institution :
Electr. & Inf. Eng. Inst., Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
This article describes the pavement crack detection system architecture shows the hardware options and rationale, as well as the system works. This paper uses the median of the road image de-noising filter. In contrast to edge detection sobel and prewitt operator to verify the validity and advantages of the sobel. Finally, in the crack after the image is binary, crack an image feature extraction and recognition.
Keywords :
edge detection; feature extraction; image denoising; roads; surface cracks; traffic engineering computing; edge detection; image feature extraction; pavement surface crack recognition; prewitt operator; road image denoising filter; sobel operator; Feature extraction; Gray-scale; Image edge detection; Image segmentation; Pixel; Roads; Surface cracks; component; edge-based; image de-noising; road crack;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583689