Automatic Pavement-Crack Detection and Segmentation Based on Steerable Matched Filtering and an Active Contour Model

Author:

Li Shuai1,Cao Yang2,Cai Hubo3

Affiliation:

1. Ph.D. Candidate, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907.

2. Ph.D. Student, School of Building Construction, Georgia Institute of Technology, Atlanta, GA 30332.

3. Associate Professor, Lyles School of Civil Engineering, Purdue Univ., 550 Stadium Mall Dr., West Lafayette, IN 47907 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Reference39 articles.

1. Alekseychuk O. (2006). “Detection of crack-like indications in digital radiography by global optimisation of a probabilistic estimation function.” Ph.D. thesis Bundesanstalt fuer Materialforschung und -pruefung Berlin.

2. 2013 Report Card for America's Infrastructure

3. Automatic Road Defect Detection by Textural Pattern Recognition Based on AdaBoost

4. National performance management measures; assessing pavement condition for the National Highway Performance Program and bridge condition for the National Highway Performance Program;FHWA (Federal Highway Administration);Federal Register,2015

5. The design and use of steerable filters

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