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Abstract:
In the proposed method, a pavement image is converted to a grey-scale image which is decomposed by using contourlet transform. Then directionality and anisotropy are used to enhance the singular characteristic of the image by expanding all scale detail coefficients to the same size and combining the coefficients. The approach avoids unreasonable evaluation result of classical unified crack index pavement distress evaluation method based on image tile. Experimental results show the algorithm proposed in this paper can detect pavement cracks effectively which is not affected by noise.
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PROCEEDINGS OF THE NINTH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING AND SCIENCE (DCABES 2010)
Year: 2010
Page: 518-522
Language: English
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 8
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
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