In recent years, road surface micro-texture and macro-texture measurement has become an important topic in Intelligent Transportation Systems. A novel method to extract micro-texture and macro-texture is developed in this research, in which the multiple background images have been used in order to extract road surface. The proposed algorithm includes two stages: road surface extraction and micro-texture measurement. The road surface image was extracted by performing the difference on three consecutive frames. According to the extracted images, we analyze the feature point to measurement micro-texture. The proposed method has been tested on a number of traffic-image sequences and the experimental results show that the algorithm is robust and real-time.


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    Titel :

    A Stereoscopic Imaging Arithmetic for 3D Measurement of Road Surface Micro-Texture


    Beteiligte:
    Xie, Lei (Autor:in) / Chu, Xiumin (Autor:in) / Wang, Weifeng (Autor:in) / Chen, Chen (Autor:in)

    Kongress:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    2009-07-29




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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