This paper presents a method for triangular and rectangular shapes detection in a road sign recognition system based on a three step algorithm: color segmentation, shape detection and neural network classification. The shape detector is based on the evaluation of the Sobel edges and Hough images in a region of interest detected by the color-based stage. During the tests performed the shape detector shows its robustness to rotation, occlusion and deformation, despite a 10% increasing of total computational times compared with that requested by the pattern matching.


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    Titel :

    Road signs shapes detection based on Sobel phase analysis


    Beteiligte:
    Cardarelli, Elena (Autor:in) / Medici, Paolo (Autor:in) / Porta, Pier Paolo (Autor:in) / Ghisio, Guido (Autor:in)


    Erscheinungsdatum :

    01.06.2009


    Format / Umfang :

    7196616 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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