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

摘要：

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.

关键词： road cracks pavement images contourlet directionality anisotropy

作者: Shu Zhibiao Guo Yanqing

作者单位: College of Mathematics and Computer Science,Fuzhou University,Fuzhou, China

会议类型: 国际会议

会议名称: 电子商务、工程及科学领域的分布计算和应用国际会议(DCABES 2010)

会议地点: 香港

会议语种:英文

页码: 518-522

在线出版日期: 2010-08-10（万方平台首次上网日期，不代表论文的发表时间）