Pavement Distress Analysis Using Image Processing Techniques

David S. Mahler; Zuhair B. Kharoufa; Edward K. Wong; Leonard G. Shaw

doi:10.1111/j.1467-8667.1991.tb00393.x

Pavement Distress Analysis Using Image Processing Techniques

David S. Mahler, Zuhair B. Kharoufa, Edward K. Wong, Leonard G. Shaw

Research output: Contribution to journal › Article › peer-review

Abstract

Abstract: We demonstrate the feasibility of applying image processing techniques to the analysis of pavement distress due to cracking. Pavement image samples were obtained using a custom‐designed data acquisition system called the Automatic Crack Monitor (ACM). The image samples conteining pavement cracks are parameters, are extracted using techniquesw described in this paper. The crack parameters are necessary measures used in calculations of the Pavement Serviceability Index (PSI), which is used by highway maintenance engineers to decide whether a certain pavement section needs to be repaired. Experimental results are shown and the potential harware implementation of the developed techniques is also discussed.

Original language	English (US)
Pages (from-to)	1-14
Number of pages	14
Journal	Computer‐Aided Civil and Infrastructure Engineering
Volume	6
Issue number	1
DOIs	https://doi.org/10.1111/j.1467-8667.1991.tb00393.x
State	Published - Jan 1991

ASJC Scopus subject areas

Civil and Structural Engineering
Computer Science Applications
Computer Graphics and Computer-Aided Design
Computational Theory and Mathematics

Access to Document

10.1111/j.1467-8667.1991.tb00393.x

Cite this

@article{2799011475df4261bc1ff100df4cf7ba,

title = "Pavement Distress Analysis Using Image Processing Techniques",

abstract = "Abstract: We demonstrate the feasibility of applying image processing techniques to the analysis of pavement distress due to cracking. Pavement image samples were obtained using a custom‐designed data acquisition system called the Automatic Crack Monitor (ACM). The image samples conteining pavement cracks are parameters, are extracted using techniquesw described in this paper. The crack parameters are necessary measures used in calculations of the Pavement Serviceability Index (PSI), which is used by highway maintenance engineers to decide whether a certain pavement section needs to be repaired. Experimental results are shown and the potential harware implementation of the developed techniques is also discussed.",

author = "Mahler, {David S.} and Kharoufa, {Zuhair B.} and Wong, {Edward K.} and Shaw, {Leonard G.}",

year = "1991",

month = jan,

doi = "10.1111/j.1467-8667.1991.tb00393.x",

language = "English (US)",

volume = "6",

pages = "1--14",

journal = "Computer‐Aided Civil and Infrastructure Engineering",

issn = "1093-9687",

publisher = "Wiley-Blackwell Publishing Ltd",

number = "1",

}

TY - JOUR

T1 - Pavement Distress Analysis Using Image Processing Techniques

AU - Mahler, David S.

AU - Kharoufa, Zuhair B.

AU - Wong, Edward K.

AU - Shaw, Leonard G.

PY - 1991/1

Y1 - 1991/1

N2 - Abstract: We demonstrate the feasibility of applying image processing techniques to the analysis of pavement distress due to cracking. Pavement image samples were obtained using a custom‐designed data acquisition system called the Automatic Crack Monitor (ACM). The image samples conteining pavement cracks are parameters, are extracted using techniquesw described in this paper. The crack parameters are necessary measures used in calculations of the Pavement Serviceability Index (PSI), which is used by highway maintenance engineers to decide whether a certain pavement section needs to be repaired. Experimental results are shown and the potential harware implementation of the developed techniques is also discussed.

AB - Abstract: We demonstrate the feasibility of applying image processing techniques to the analysis of pavement distress due to cracking. Pavement image samples were obtained using a custom‐designed data acquisition system called the Automatic Crack Monitor (ACM). The image samples conteining pavement cracks are parameters, are extracted using techniquesw described in this paper. The crack parameters are necessary measures used in calculations of the Pavement Serviceability Index (PSI), which is used by highway maintenance engineers to decide whether a certain pavement section needs to be repaired. Experimental results are shown and the potential harware implementation of the developed techniques is also discussed.

UR - http://www.scopus.com/inward/record.url?scp=84981478139&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84981478139&partnerID=8YFLogxK

U2 - 10.1111/j.1467-8667.1991.tb00393.x

DO - 10.1111/j.1467-8667.1991.tb00393.x

M3 - Article

AN - SCOPUS:84981478139

SN - 1093-9687

VL - 6

SP - 1

EP - 14

JO - Computer‐Aided Civil and Infrastructure Engineering

JF - Computer‐Aided Civil and Infrastructure Engineering

IS - 1

ER -

Pavement Distress Analysis Using Image Processing Techniques

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this