Pavement Crack Automatic Recognition Based on Wiener Filtering: Fid-Bau Portal

Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

Pavement Crack Automatic Recognition Based on Wiener Filtering

Zhang, J. / Sha, A. / Sun, Z. Y. / Gao, H. G.

System principle and composition including image acquisition, image processing and image interpretation for pavement crack automatic recognition based on digital image processing are presented. In order to improve crack identification rate, pavement image retrogression reasons are introduced and stochastic and complex characteristics for pavement images are analyzed. Wiener filtering theory is investigated to overcome the problem that some classical methods will weaken useful image details when restrain noise. Results show that Wiener filtering can preserve image edge information and remove some noise from non-uniform illumination, imaging systems, pavement material and grain's texture through the analysis for representative examples.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Pavement Crack Automatic Recognition Based on Wiener Filtering

Zhang, J. / Sha, A. / Sun, Z. Y. / Gao, H. G.

System principle and composition including image acquisition, image processing and image interpretation for pavement crack automatic recognition based on digital image processing are presented. In order to improve crack identification rate, pavement image retrogression reasons are introduced and stochastic and complex characteristics for pavement images are analyzed. Wiener filtering theory is investigated to overcome the problem that some classical methods will weaken useful image details when restrain noise. Results show that Wiener filtering can preserve image edge information and remove some noise from non-uniform illumination, imaging systems, pavement material and grain's texture through the analysis for representative examples.

Pavement Crack Automatic Recognition Based on Wiener Filtering

Zhang, J. / Sha, A. / Sun, Z. Y. / Gao, H. G.

System principle and composition including image acquisition, image processing and image interpretation for pavement crack automatic recognition based on digital image processing are presented. In order to improve crack identification rate, pavement image retrogression reasons are introduced and stochastic and complex characteristics for pavement images are analyzed. Wiener filtering theory is investigated to overcome the problem that some classical methods will weaken useful image details when restrain noise. Results show that Wiener filtering can preserve image edge information and remove some noise from non-uniform illumination, imaging systems, pavement material and grain's texture through the analysis for representative examples.

Access

Check availability in my library

Order at Subito €

Page navigation

Document information

Export, share and cite

Document information

Title:

Pavement Crack Automatic Recognition Based on Wiener Filtering

Contributors:

Zhang, J. (author) / Sha, A. (author) / Sun, Z. Y. (author) / Gao, H. G. (author)

Conference:

Ninth International Conference of Chinese Transportation Professionals (ICCTP) ; 2009 ; Harbin, China

Published in:

ICCTP 2009 ; 1-7

Publication date:

2009-07-23

ISBN:

DOI:

https://doi.org/10.1061/41064(358)370

Type of media:

Conference paper

Type of material:

Electronic Resource

Language:

English

Keywords:

Planning , Transportation networks , Transportation management , Infrastructure , Cracking , Logistics , Renewable energy , Pavements , Filters , Intelligent transportation systems , Imaging techniques

Similar titles

Pavement Crack Automatic Recognition Based on Wiener Filtering

Zhang, J. / Sha, A. / Sun, Z.Y. et al. | British Library Conference Proceedings | 2009

Automatic pavement crack detection based on image recognition

CHEN, C. / SEO, H. S. / ZHAO, Y. et al. | TIBKAT | 2019

Review on Automatic Pavement Crack Image Recognition Algorithms

Peng, Bo / Jiang, Yang-sheng / Pu, Yun | ASCE | 2015

Pavement Crack Recognition Based Wireless Video Sensors

Zeng, Linhui / Shi, Xiaofa / Li, Yichao et al. | ASCE | 2015

Automatic Pavement-Crack Detection and Segmentation Based on Steerable Matched Filtering and an Active Contour Model

Cao, Yang | Online Contents | 2017