期刊
2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2
卷 -, 期 -, 页码 376-381出版社
IEEE
DOI: 10.1109/IVS.2009.5164307
关键词
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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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