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Title:

Automated Steel Bridge Surface Evaluations and Environmental Conditions

Accession Number:

01088596

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

An accurate, objective rust defect assessment on steel bridge surfaces is required to maintain good quality steel bridge coating surfaces and make a decision whether a bridge shall be repainted completely or partially. For more objective rust defect recognition, digital image recognition methods have been developed for the past few years and they are expected to replace or complement conventional painting inspection methods. Efficient image processing methods are also essential for the successful implementation of steel bridge coating warranty contracting where the owner, usually a state agency, and the contractor inspect steel bridge coating conditions regularly and decide whether additional maintenance actions are needed based on the processed data. Previously developed image recognition methods for painting rust defect assessment can be summarized into two: the Neuro-Fuzzy Recognition Approach (NFRA) method and the Simplified K-Means Algorithm (SKMA) method. The NFRA method uses artificial intelligence techniques to separate rust pixels from background pixels. The SKMA method segments object pixels and background pixels in a digitized image using a statistical method. Even if both methods pass through different processing procedures, one common thing is that they first convert original color images to grayscale images and further process the grayscale images. This paper discusses the limitations under several specific environmental conditions when applying previously developed image processing methods and presents a novel coating surface evaluation method by applying digital color space processing reasoning.

Monograph Accession #:

01084478

Report/Paper Numbers:

08-2909

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Lee, Sangwook

Pagination:

18p

Publication Date:

2008

Conference:

Transportation Research Board 87th Annual Meeting

Location: Washington DC, United States
Date: 2008-1-13 to 2008-1-17
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures (9) ; References (10) ; Tables (1)

Uncontrolled Terms:

Bridge maintenance; Digital images

Subject Areas:

Highways; Maintenance and Preservation; I61: Equipment and Maintenance Methods

Source Data:

Transportation Research Board Annual Meeting 2008 Paper #08-2909

Files:

TRIS, TRB

Created Date:

Jan 29 2008 5:23PM