The paper presents one effective method for ship recognition in the ship lock. The outdoors environment is very complexity in which there are shade, waves and speckles caused by the sunlight and wind or motion of ships. The accuracy of recognition is depended on the accuracy of disturb area detection. It analyzes their characters on gray level and structure, proposes a new method to form a special histogram of only those pixels besides the boundary. This histogram is fit for small object segment and also large. At the end, the features for recognition based on statistic are presented. The long time running in the temporary ship lock of Three Gorges Project proves the error rate of judging is less than three thousandth just using the statistic features and less than one over ten thousands cooperating with the others.


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    Titel :

    One effective method for ship recognition in ship locks


    Beteiligte:
    Ren, Mingwu (Autor:in) / Cao, Yulong (Autor:in) / Tang, Zhenmin (Autor:in) / Yang, Jingyu (Autor:in) / Wang, Baoshan (Autor:in) / Geng, Xufei (Autor:in)

    Kongress:

    Signal Processing, Sensor Fusion, and Target Recognition VIII ; 1999 ; Orlando,FL,USA


    Erschienen in:

    Erscheinungsdatum :

    27.07.1999





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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