To obtain a better understanding of the effect of vehicle fires on rigid pavement, a nondestructive test method utilizing an ordinary digital camera to capture images of mortar at five elevated temperatures was undertaken. These images were then analyzed by “image color-intensity analyzer” software. In image analysis, the RGB color model was the basic system used to represent the color information of images. HSI is a derived-color model that is transformed from an RGB model by formulae. In order to understand more about surface color changes and temperatures after a vehicle fire, various transformation formulae used in different research areas were applied in this study. They were then evaluated to obtain the optimum HSI model for further studies of fire-damaged mortar through the use of image analysis.


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    Titel :

    Application of Different HSI Color Models to Detect Fire-Damaged Mortar


    Beteiligte:
    H. Luo (Autor:in) / D. Lin (Autor:in) / C. Yu (Autor:in) / L. Chen (Autor:in)


    Erscheinungsdatum :

    2013




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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