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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    Title :

    Road signs shapes detection based on Sobel phase analysis


    Contributors:


    Publication date :

    2009-06-01


    Size :

    7196616 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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