Road signs shapes detection based on Sobel phase analysis

Author

Cardarelli, Elena ; Medici, Paolo ; Porta, Pier Paolo ; Ghisio, Guido

Author_Institution

Dipt. di Ing. dell´´Inf., Univ. degli Studi di Parma, Parma, Italy

fYear

2009

fDate

3-5 June 2009

Firstpage

376

Lastpage

381

Abstract

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.

Keywords

edge detection; image classification; image colour analysis; image matching; image segmentation; neural nets; object detection; traffic engineering computing; Hough image; Sobel edges; Sobel phase analysis; color segmentation; color-based stage; deformation; neural network classification; occlusion; pattern matching; rectangular shape detection; road sign recognition system; road signs shapes detection; triangular shape detection; Detectors; Image edge detection; Image segmentation; Neural networks; Performance evaluation; Phase detection; Roads; Robustness; Shape; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium, 2009 IEEE

Conference_Location

Xi´an

ISSN

1931-0587

Print_ISBN

978-1-4244-3503-6

Electronic_ISBN

1931-0587

Type

conf

DOI

10.1109/IVS.2009.5164307

Filename

5164307