Improvement of Crack-Detection Accuracy Using a Novel Crack Defragmentation Technique in Image-Based Road Assessment-Reference-Cited by-同舟云学术

Improvement of Crack-Detection Accuracy Using a Novel Crack Defragmentation Technique in Image-Based Road Assessment

Published:2016-01 Issue:1 Volume:30 Page:04014118
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Wu Liuliu¹,Mokhtari Soroush¹,Nazef Abdenour²,Nam Boohyun³,Yun Hae-Bum⁴

Affiliation:

1. Graduate Student, Dept. of Civil, Environmental, and Construction Engineering, Univ. of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816.

2. Pavement Materials Systems Engineer, Florida Dept. of Transportation, 5007 N.E. 39th Ave., Gainesville, FL 32609.

3. Assistant Professor, Dept. of Civil, Environmental, and Construction Engineering, Univ. of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816.

4. Assistant Professor, Dept. of Civil, Environmental, and Construction Engineering, Univ. of Central Florida, 4000 Central Florida Blvd., Orlando, FL 32816 (corresponding author).

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.1943-5487.0000451

Reference50 articles.

1. AASHTO. (1993). “AASHTO guide for design of pavement structures.” AASHTO Washington DC.

2. ASCE. (2013). “2013 report card for America’s infrastructure.” ASCE Washington DC 1–74.

3. Evaluating Pavement Cracks with Bidimensional Empirical Mode Decomposition

4. An efficient iterative algorithm for image thresholding

5. Hands-on Morphological Image Processing

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