Critical Assessment of Pavement Distress Segmentation Methods-Reference-Cited by-同舟云学术

Critical Assessment of Pavement Distress Segmentation Methods

Published:2010-01 Issue:1 Volume:136 Page:11-19
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Tsai Yi-Chang¹²³,Kaul Vivek¹²³,Mersereau Russell M.¹²³

Affiliation:

1. Associate Professor, Civil and Environmental Engineering, Georgia Institute of Technology Savannah, GA 31407 (corresponding author).

2. Graduate Student, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250.

3. Professor Emeritus, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29TE.1943-5436.0000051

Reference45 articles.

1. Alekseychuk O. (2006). “Detection of crack-like indications in digital radiography by global optimisation of a probabilistic estimation function.” Ph.D. thesis BAM-Dissertationsreihe Band 18 Berlin.

2. A Computational Approach to Edge Detection

3. Automated real-time pavement distress detection using fuzzy logic and neural network

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

5. Novel fuzzy logic approach to pavement distress detection

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