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Title:

A Tile-Based Image Processing Method Based on Crack Density for Detection and Classification of Pavement Cracks

Accession Number:

01699791

Record Type:

Component

Abstract:

This paper describes the development of a fast and cost-effective automatic crack assessment method for the detection and classification of cracks from acquired two-dimensional pavement images. Most methods are costly and require labor-intensive learning processes or only apply to specific pavement types, and therefore a fast and low-cost method is necessary for roadway health monitoring with a limited budget. The authors find that the method can contribute to the deterioration modeling of cracks for pavement management systems, but it was ineffective at identifying low-level cracks.

Report/Paper Numbers:

19-02553

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Safaei, Nima
Smadi, Omar

Pagination:

7p

Publication Date:

2019

Conference:

Transportation Research Board 98th Annual Meeting

Location: Washington DC, United States
Date: 2019-1-13 to 2019-1-17
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

References

Subject Areas:

Highways; Pavements

Files:

TRIS, TRB, ATRI

Created Date:

Mar 25 2019 2:00PM