The Intelligent Transportation Systems bring a safely and comfortable motorized society, which are based on image processing such as predicting/detecting the danger of vehicles collecting the transport information to control the traffic flow on traffic control systems etc. However, with the pollution of environment, the fog/haze becomes a serious problem, causing the image deterioration or degradation and the Intelligent Transportation Systems lose their functions. This paper proposed an immunological method of image processing for detecting the fog/haze in the image to support Intelligent Transportation Systems. This state-of-the-art method is based on the theory of biological defence system, which unites the reducing of fog/haze and edge detection. The experimental results show that our proposed haze immunized algorithm can remove effect of haze on image processing algorithm. Compared to conventional de-haze image processing algorithm, our proposed algorithm unitizes bio-inspired algorithm to achieve efficient hardware consumption. The results of FPGA implementation show less hardware usage than conventional method.


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    Titel :

    Artificial Haze Immune Algorithm for Image Processing


    Beteiligte:
    Guo, Yanhui (Autor:in) / Meng, Lin (Autor:in) / Tang, Xiaobing (Autor:in) / Shi, Yufeng (Autor:in) / Cao, Han (Autor:in) / Bai, Yu (Autor:in)


    Erscheinungsdatum :

    01.10.2016


    Format / Umfang :

    622190 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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