Comprehensive, Quantitative Crack Detection Algorithm Performance Evaluation System-Reference-Cited by-同舟云学术

Comprehensive, Quantitative Crack Detection Algorithm Performance Evaluation System

Published:2017-09 Issue:5 Volume:31 Page:04017047
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Tsai Yi-Chang (James)¹,Chatterjee Anirban²^ORCID

Affiliation:

1. Georgia Institute of Technology, North Ave., Atlanta, GA 30332; Changjiang Scholar, Chang’an Univ., 2nd Ring Rd. SE, Xi’an, China.

2. Georgia Institute of Technology, North Ave., Atlanta, GA 30332 (corresponding author). ORCID: .

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.1943-5487.0000696

Reference29 articles.

1. Functional Evaluation of Pavement Condition Using a Complete Vision System

2. Alekseychuk O. (2005). “Detection of crack-like indications in digital radiography by global optimisation of a probabilistic estimation function.” Ph.D. thesis Technischen Universität Dresden Dresden Germany.

3. A Computational Approach to Edge Detection

4. Introduction of a wavelet transform based on 2D matched filter in a Markov random field for fine structure extraction: application on road crack detection

5. Novel Approach to Pavement Cracking Detection Based on Fuzzy Set Theory

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