A research project evaluated the application of infrared thermography for the detection of asphalt cracking. Such detection has generally relied on image processing of pictures and videos of asphalt produced by analog and digital cameras that operate in the visual range of light. The presence of shadows, poor light conditions, white cracks, and a variety of other problems have presented serious challenges to automated crack identification and detection in this frequency region. The research reported here is primarily aimed at testing the hypothesis that asphalt cracks cause changes to surface conditions and emissivity, leading to perceived temperature differentials that can be exploited by infrared detectors in cameras. The research involved the production of tens of images from both conventional and infrared cameras. Several parameters were evaluated for both flexible and rigid pavements, including choice of infrared detection range, various lenses, and exposure during day and night hours. Under the right conditions, infrared thermography can yield superior results and allow the identification of tiny cracks about 1 mm in width, which are virtually impossible to detect with conventional cameras.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Infrared Thermography for Asphalt Crack Imaging and Automated Detection


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2004-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Will Infrared Thermography Revolutionize Asphalt Paving?

    British Library Online Contents | 2003


    Infrared thermography revolutionizes hot-mix asphalt paving

    Phillips, L. / Willoughby, K. / Mahoney, J. | Tema Archive | 2004


    Detection of Crack Growth in Asphalt Pavement Through Use of Infrared Imaging

    Du, Yuchuan / Zhang, Xiaoming / Li, Feng et al. | Transportation Research Record | 2017