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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| creator | Touma, Teeba A. Abbas, Heba Kh Mohamad, Haidar J. Al-Zuky, Ali A. |
| description | 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. |
| doi_str_mv | 10.1063/5.0102888 |
| format | Conference Proceeding |
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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. 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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. 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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. 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| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2023, Vol.2475 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_proquest_journals_2793230533 |
| source | AIP Journals Complete |
| subjects | Color Digital imaging Image processing Image segmentation Traffic signals Weather |
| title | Intelligent detection of traffic lights using morphological operations |
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