Automatyczny system rozpoznawania znaków drogowych bazujący na dopasowaniu kształtu i segmentacji koloru

Translated title of the contribution: Shape matching and color segmentation based traffic sign detection system

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

An automatic traffic sign detection system detects traffic signs from within images captured by an imaging sensor, and assists the driver to properly operate the vehicle. The idea presented here is through pixel value detection for hazard traffic signs containing red color background, computing in range regions and finally shape matching to choose the most appropriate traffic sign candidates to be drawn on the screen. The experimental result showed that, by comparing with the similar color segmentation based techniques, the proposed system has a higher accuracy of traffic sign detection rate with a lower computational time.

Original languageUndefined/Unknown
Pages (from-to)36-40
Number of pages5
JournalPrzeglad Elektrotechniczny
Volume91
Issue number1
DOIs
Publication statusPublished - 1 Jan 2015

Fingerprint

Traffic signs
Color
Hazards
Pixels
Imaging techniques
Sensors

Keywords

  • Region detection
  • Segmentation
  • Shape matching
  • Traffic sign detection

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

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title = "Automatyczny system rozpoznawania znak{\'o}w drogowych bazujący na dopasowaniu kształtu i segmentacji koloru",
abstract = "An automatic traffic sign detection system detects traffic signs from within images captured by an imaging sensor, and assists the driver to properly operate the vehicle. The idea presented here is through pixel value detection for hazard traffic signs containing red color background, computing in range regions and finally shape matching to choose the most appropriate traffic sign candidates to be drawn on the screen. The experimental result showed that, by comparing with the similar color segmentation based techniques, the proposed system has a higher accuracy of traffic sign detection rate with a lower computational time.",
keywords = "Region detection, Segmentation, Shape matching, Traffic sign detection",
author = "Wali, {Safat B.} and {M A}, Hannan and Shahrum Abdullah and Aini Hussain and {Abdul Samad}, Salina",
year = "2015",
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AU - Wali, Safat B.

AU - M A, Hannan

AU - Abdullah, Shahrum

AU - Hussain, Aini

AU - Abdul Samad, Salina

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N2 - An automatic traffic sign detection system detects traffic signs from within images captured by an imaging sensor, and assists the driver to properly operate the vehicle. The idea presented here is through pixel value detection for hazard traffic signs containing red color background, computing in range regions and finally shape matching to choose the most appropriate traffic sign candidates to be drawn on the screen. The experimental result showed that, by comparing with the similar color segmentation based techniques, the proposed system has a higher accuracy of traffic sign detection rate with a lower computational time.

AB - An automatic traffic sign detection system detects traffic signs from within images captured by an imaging sensor, and assists the driver to properly operate the vehicle. The idea presented here is through pixel value detection for hazard traffic signs containing red color background, computing in range regions and finally shape matching to choose the most appropriate traffic sign candidates to be drawn on the screen. The experimental result showed that, by comparing with the similar color segmentation based techniques, the proposed system has a higher accuracy of traffic sign detection rate with a lower computational time.

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