DocumentCode
2002808
Title
Wavelet Packet Denoising for Pavement Surface Cracks Detection
Author
Zuo, Yongxia ; Wang, Guoqiang ; Zuo, Chuncheng
Author_Institution
Coll. of Mech. Sci. & Eng., Jilin Univ., Changchun, China
Volume
2
fYear
2008
fDate
13-17 Dec. 2008
Firstpage
481
Lastpage
484
Abstract
Removing noise from pavement images to improve the quality of images is an important step of pavement image processing. A novel noise reduction method based on wavelet packet for pavement images is presented. Firstly, the image is transformed into a wavelet packet domain. Then using the semi-soft threshold to process wavelet packet coefficients can keep important image information and remove noise. Last, we reconstruct the image. Performance of the method has been tested on actual pavement images. From the experiment results, we see that the method effectively reduces the noise while preserving the edges in the original image.
Keywords
crack detection; image denoising; object detection; road building; wavelet transforms; noise reduction method; pavement surface cracks detection; wavelet packet denoising; Continuous wavelet transforms; Discrete wavelet transforms; Image processing; Noise reduction; Smoothing methods; Surface cracks; Surface waves; Wavelet analysis; Wavelet packets; Wavelet transforms; noise reduction; pavement images; semi-soft threshold; wavelet packet;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location
Suzhou
Print_ISBN
978-0-7695-3508-1
Type
conf
DOI
10.1109/CIS.2008.208
Filename
4724823
Link To Document