ANALYSIS OF EDGE-DETECTION TECHNIQUES FOR CRACK IDENTIFICATION IN BRIDGES

Bridge monitoring and maintenance is an expensive yet essential task in maintaining a safe national transport infrastructure. Traditional monitoring methods use visual inspection of bridges on a regular basis and often require inspectors to travel to the bridge of concern and determine the deterioration level of the bridge. Automation of this process may result in great monetary savings and can lead to more frequent inspection cycles. One aspect of this automation is detection of cracks deterioration of a bridge. This paper presents a comparison of the effectiveness of 4 crack-detection techniques: fast Haar transform (FHT), fast Fourier transform, Sobel, and Canny. These imaging edge-detection algorithms were implemented in MatLab and simulated using a sample of 50 concrete bridge images (25 with cracks, 25 without). Results show the FHT was significantly more reliable than the other 3 edge-detection techniques in identifying cracks.

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  • English

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  • Accession Number: 00963270
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 30 2003 12:00AM