Automatic pavement cracking detection is a part of road maintenance and rehabilitation strategies. Cracks detection is one of the main features used by road authorities to manage efficiently its networks. Different systems are available to perform road analysis. The authors give a short description of some of them. Apparatus used to provide the images is described with more details. Road surface is made using randomly organized aggregates which can have different sizes. Scanned pictures of theses surfaces appear as random distribution of a reduced set of gray levels. Automatic crack detection is a difficult task due to the noisy pavement surface. In this paper, the authors introduce a measure of anisotropy for the characterization of cracks. The basic idea of this method is to detect the variation of features by considering different orientations. Noise variation and defect properties can be taken into account by the method. Comparative results of anisotropy method with threshold method and 2D wavelet transform method are presented to illustrate benefits of anisotropy. The authors show that this method can be used to detect others types of defects, such as joints.


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    Title :

    Pavement cracking detection using an anisotropy measurement


    Additional title:

    Entdeckung von Straßenbelagsrissen durch Anisotropiemessung


    Contributors:


    Publication date :

    2010


    Size :

    8 Seiten, 2 Tabellen, 20 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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