Title :
Algorithm on Contourlet Domain in Detection of Road Cracks for Pavement Images
Author :
Zhibiao, Shu ; Yanqing, Guo
Author_Institution :
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
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.
Keywords :
crack detection; image enhancement; image sequences; roads; structural engineering computing; wavelet transforms; anisotropy; contourlet transform; directionality; grey-scale image; pavement image; road cracks detection; Filter bank; Gray-scale; Image enhancement; Image resolution; Roads; Wavelet transforms; anisotropy; contourlet; directionality; pavement images; road cracks;
Conference_Titel :
Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7539-1
DOI :
10.1109/DCABES.2010.111