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author:

Shu, Z. (Shu, Z..) [1] | Guo, Y. (Guo, Y..) [2]

Indexed by:

Scopus

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. © 2010 IEEE.

Keyword:

Anisotropy; Contourlet; Directionality; Pavement images; Road cracks

Community:

  • [ 1 ] [Shu, Z.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 2 ] [Guo, Y.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Shu, Z.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

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Source :

Proceedings - 9th 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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