Checking railway status is critical to guarantee high operating safety, proper maintenance schedule, and low maintenance and operating costs. This operation consists of the analysis of the rail profile and level as well as overall geometry and undulation. Traditional detection systems are based on mechanical devices in contact with the track. Innovative approaches are based on laser scanning and image analysis. This paper presents an efficient composite technique for track profile extraction with real-time image processing. High throughput is obtained by algorithmic prefiltering to restrict the image area containing the track profile, while high accuracy is achieved by neural reconstruction of the profile itself.


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    Title :

    Composite real-time image processing for railways track profile measurement


    Contributors:
    Alippi, C. (author) / Casagrande, E. (author) / Scotti, F. (author) / Piuri, V. (author)


    Publication date :

    2000


    Size :

    6 Seiten, 9 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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