Tracking of Defects in Reinforced Concrete Bridges Using Digital Images-Reference-Cited by-同舟云学术

Tracking of Defects in Reinforced Concrete Bridges Using Digital Images

Published:2016-09 Issue:5 Volume:30 Page:04016004
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Adhikari R. S.¹,Moselhi O.²,Bagchi A.³,Rahmatian A.⁴

Affiliation:

1. Dept. of Building, Civil, and Environment Engineering, Concordia Univ., Montreal, QC, Canada H3G 1M8 (corresponding author).

2. Professor, Dept. of Building, Civil, and Environment Engineering, Concordia Univ., Montreal, QC, Canada H3G 1M8.

3. Associate Professor, Dept. of Building, Civil, and Environment Engineering, Concordia Univ., Montreal, QC, Canada H3G 1M8.

4. Assistant Professor, Dept. of Computer Science and Engineering Technology, Univ. of Houston-Downtown, Houston, TX 77002.

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.1943-5487.0000566

Reference63 articles.

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

2. PCA-Based algorithm for unsupervised bridge crack detection

3. An imaging data model for concrete bridge inspection

4. Image-based retrieval of concrete crack properties for bridge inspection

5. ASCE. (2013). “ Report card for America’s infrastructure.” ⟨http://www.infrastructurereportcard.org/a/#p/bridges/conditions-and-capacity⟩ (Oct. 16 2013).

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