This paper concerns the use of computer vision techniques for distinguishing finished wooden components in a manufacturing environment. The components are kitchen cabinet doors, which are produced in many different shapes and sizes. We have developed a system which can classify doors quickly and reliably as they travel on a conveyor. Two laser sources are used with three video cameras to obtain profile images. This paper describes the system, the feature extraction process, and the classification method. The system exists as a laboratory prototype, and has been successfully tested with a large number of samples. A duplicate system will be installed in a factory in the near future.<>


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    Titel :

    Automatic classification of wooden cabinet doors


    Beteiligte:
    Abbott, A.L. (Autor:in) / Bin Yuan (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    541230 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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