Intelligent road boundary identification method based on image segmentation and edge features

Hong Li; Norriza Hussin

doi:10.1117/12.3014460

9 January 2024 Intelligent road boundary identification method based on image segmentation and edge features

Hong Li, Norriza Hussin

Proceedings Volume 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023); 129691B (2024) https://doi.org/10.1117/12.3014460
Event: International Conference on Algorithm, Imaging Processing and Machine Vision (AIPMV 2023), 2023, Qingdao, China

Abstract

Conventional road boundary intelligent identification methods mainly use black-and-white optical driving method to generate road boundary detection binary image, which is easily influenced by threshold segmentation, resulting in large deviation parameters of parabola identification. Therefore, it is necessary to design a brand-new road boundary intelligent identification method based on image segmentation and edge features. That is to say, the road boundary is extracted by using the image edge features, and an intelligent road boundary identification algorithm is designed in combination with image segmentation, thus completing the intelligent road boundary identification. The experimental results show that the intelligent road boundary recognition method based on image segmentation and edge features has good recognition effect, reliability and certain application value, and has made certain contributions to improving driving safety.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hong Li and Norriza Hussin "Intelligent road boundary identification method based on image segmentation and edge features", Proc. SPIE 12969, International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023), 129691B (9 January 2024); https://doi.org/10.1117/12.3014460

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