NDLI: Pavement Crack Detection and Analysis for High-grade Highway

Content Provider	IEEE Xplore Digital Library
Author	Yan Maode Bo Shaobo Xu Kun He Yuyao
Copyright Year	2007
Description	Author affiliation: Chang'an Univ., Xi'an (Yan Maode; Bo Shaobo; Xu Kun; He Yuyao)
Abstract	The image processing technology has been widely applied to maintaining and manipulating the high-grade highway, but it is difficult to make a balance between the processing effect and the processing speed. In order to solve this problem, we introduce the morphology to the pavement crack detection for the high-grade highway and propose a novel image processing method in this paper. The approached method reconstructs the median-filter algorithm with four structural elements to enhance the gray-scale pavement images, and combines the morphology-gradient operator with the morphology-close operator to extract the crack edges and fill the gaps of the cracks. After the above processing, the proposed method employs the improved morphology-erosion operator to thin the cracks and obtain the skeletons, and then gets the length and width of cracks by counting. Compared with other traditional methods, the experimental results indicate that our method can not only effectively extract the edges of cracks and evidently decrease the influence of noises, but also gain the exact characteristics of the pavement cracks.
File Size	525880
File Format	PDF
ISBN	9781424411351
DOI	10.1109/ICEMI.2007.4351202
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Road transportation Structural element Filters Image analysis Image edge detection Image processing Instruments Morphology Skeleton Crack detection Noise shaping Detection algorithms
Content Type	Text
Resource Type	Article

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