Multiresolution Information Mining for Pavement Crack Image Analysis-Reference-Cited by-同舟云学术

Multiresolution Information Mining for Pavement Crack Image Analysis

Published:2012-11 Issue:6 Volume:26 Page:741-749
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Adu-Gyamfi Y. O.¹,Okine N. O. Attoh²,Garateguy Gonzalo³,Carrillo Rafael⁴,Arce Gonzalo R.⁵

Affiliation:

1. Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Delaware, Newark, DE 19716.

2. Professor, Dept. of Civil and Environmental Engineering, Univ. of Delaware, Newark, DE 19716 (corresponding author).

3. Graduate Student, Dept. of Electrical and Computer Engineering, Univ. of Delaware, Newark, DE 19716.

4. Institute of Electrical Engineering, Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.

5. Professor, Dept. of Electrical and Computer Engineering, Univ. of Delaware, Newark, DE 19716.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000178

Reference19 articles.

1. Analysis of Edge-Detection Techniques for Crack Identification in Bridges

2. Critical Analysis of Different Hilbert-Huang Algorithms for Pavement Profile Evaluation

3. Ahmed M. F. M. and Haas C. T. (2010). “Potential of low-cost close-range photogrammetry toward unified automatic pavement distress surveying.” Transportation Research Board Annual Meeting (CD-ROM) Transportation Research Board Washington DC.

4. Evaluating pavement cracks with bidimensional empirical mode decomposition;Ayenu-Prah A.,;EURASIP J. Adv. Signal Process.,2008

5. Bhagavatula R. and Savvides M. (2007). “Analyzing facial images using empirical mode decomposition for illumination artifact removal and improved face recognition.” IEEE Int. Conf. on Acoustics Speech and Signal Processing Honolulu HI 1520-61491(15–20) 501–508.

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