The first phase of a research study on detecting cracks in pavements is described. For reliable crack detection, various regions in a road image have to be segmented accurately. A procedure based on the texture and color properties of different regions of images is used in conjunction with the Kohonen map, also known as the self-organizing map. Accuracy of 89.7% was obtained with classification based on the Kohonen map of images taken with a regular digital camera and simple lighting setup. Furthermore, a complementary algorithm is described to remove spurious classifications caused by inaccuracies in the trained Kohonen map. With the help of this algorithm, an overall segmentation accuracy of 97.7% is reported. This research is expected to affect other problems in transportation engineering, such as road boundary detection and road marking inspection. The detection of cracks from the segmented regions will be addressed in the future.


    Zugriff

    Download

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application of Texture Analysis and Kohonen Map for Region Segmentation of Pavement Images for Crack Detection


    Weitere Titelangaben:

    Transportation Research Record: Journal of the Transportation Research Board


    Beteiligte:
    Mathavan, S. (Autor:in) / Rahman, M. M. (Autor:in) / Kamal, K. (Autor:in)


    Erscheinungsdatum :

    01.01.2012




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Deep Learning-Based Real-Time Crack Segmentation for Pavement Images

    Wang, Wenjun / Su, Chao | Springer Verlag | 2021


    Kohonen networks for multiscale image segmentation

    Haring, S. / Viergever, M. A. / Kok, J. N. | British Library Online Contents | 1994


    CrackFormer Network for Pavement Crack Segmentation

    Liu, Huajun / Yang, Jing / Miao, Xiangyu et al. | IEEE | 2023


    Analysis of Segmentation Algorithms for Pavement Distress Images.

    Koutsopoulos, Haris N. | Online Contents | 1993