Intelligent detection of traffic lights using morphological operations

Traffic lights recognition and detection considered an important step in the advanced driver assistance techniques. A smart system designed to identify traffic signals at the main and secondary road junctions at different cities and different weather conditions. Digital image processing techniques u...

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Bibliographic Details
Main Authors: Touma, Teeba A., Abbas, Heba Kh, Mohamad, Haidar J., Al-Zuky, Ali A.
Format: Conference Proceeding
Language:English
Subjects:
Color
Digital imaging
Image processing
Image segmentation
Traffic signals
Weather
Online Access:Get full text
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Summary:Traffic lights recognition and detection considered an important step in the advanced driver assistance techniques. A smart system designed to identify traffic signals at the main and secondary road junctions at different cities and different weather conditions. Digital image processing techniques used to recognize traffic lights from the recorded video. Segmentation technique based threshold used to distinguish each color of the traffic signal within a threshold for each color. The traffic signal color distinguished using morphological operations. The regionprob function used to calculate the area of traffic light within colored image (cod is available). From these steps, the decision of recognizing the light is ON or OFF is determined effectively and the traffic light is recognized. The results show the efficiency and quality of the proposed system in accurate detection of traffic signals at different times and environment conditions and within different shooting distances.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0102888