A novel road crack detection and identification method using digital image processing techniques

Road crack detection is the base of highway maintenance and digital image processing has been widely used in crack detection and identification. In this paper, a novel, effective, efficient image processing method is proposed for the extraction of road cracks from pavement images. The first stage is...

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Bibliographic Details
Published in2012 8th International Conference on Computing and Convergence Technology pp. 397 - 400
Main Authors Weiling Huang, Ning Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
Subjects
crack detection
gap connect
Image preprocessing
Image segmentation
Lighting
Maintenance
mathematical morphology
Morphology
Neural networks
Noise
Object segmentation
road crack
Roads
Thresholding (Imaging)
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ISBN1467308943
9781467308946

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Summary:Road crack detection is the base of highway maintenance and digital image processing has been widely used in crack detection and identification. In this paper, a novel, effective, efficient image processing method is proposed for the extraction of road cracks from pavement images. The first stage is image preprocessing which consists of binary segmentation, morphological operations and remove algorithm which remove the isolate dots and area. Usually, after those operations above, many gaps still exists in the crack, the second stage proposed a novel algorithm to connect those break cracks. It needs to judge the type of the crack because of the difference in different types. The experimental shows that the surface crack could be detected correctly and results proved satisfying and efficient.
ISBN:1467308943
9781467308946