会议专题

Algorithm on Contourlet Domain in Detection of Road Cracks for Pavement Images

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.

road cracks pavement images contourlet directionality anisotropy

Shu Zhibiao Guo Yanqing

College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

国际会议

第九届分布式计算及其应用国际学术研讨会

香港

英文

518-522

2010-08-12(万方平台首次上网日期,不代表论文的发表时间)