A ship detection algorithm used in a navigation lock monitored control system, which helps to improve safety and dependability, is presented. We mean, in this paper, the processed region of river channel is determined through image edge detection. A method of peak-cutting histogram is introduced to restrain illusive movement information resulting from the glisten of water in the navigation lock. A concept of difference compactness from computing the projected density function of difference image is put forward, which helps to detect moving ships more precisely. With the statistical property of histogram of several small regions of river channel: gray scale variance, the detection of stationary ships can be accomplished, and the results can be judged by confidence region. Computer simulation has proved that it contributes a lot to the detection of ships in a navigation lock.


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    Titel :

    Ship detection algorithm used in a navigation lock monitored system


    Beteiligte:
    Li, Jiuxian (Autor:in) / Yuan, Xiao-hui (Autor:in) / Xia, LiangZheng (Autor:in)

    Kongress:

    Object Detection, Classification, and Tracking Technologies ; 2001 ; Wuhan,China


    Erschienen in:

    Erscheinungsdatum :

    24.09.2001





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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