Road signs shapes detection based on Sobel phase analysis

被引：6

作者：

Cardarelli, Elena ^{[1
]}

Medici, Paolo ^{[1
]}

Porta, Pier Paolo ^{[1
]}

Ghisio, Guido ^{[2
]}

机构：

[1] Univ Parma, Dipartimento Ingn Informaz, VisLab, I-43100 Parma, Italy

[2] Strateg Innovat & IP Mgt, Magnet Marelli Elect Syst, Turin, Italy

来源：

2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2 | 2009年

关键词：

RECOGNITION;

D O I：

10.1109/IVS.2009.5164307

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：376 / 381

页数：6

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