A Segmentation Method of Traffic Marking Based on Average Gray Approximating the Optimal Threshold

Abstract:

Image segmentation technique was used widely for computer vision and image processing. A robust technique of image segmentation plays a crucial role in identification problem. In this paper, a nonparametric and unsupervised method of automatic threshold for segmenting image was proposed, i.e. the optimal threshold is approximated by global average gray and local average gray, and this method was compared with other methods by using standard image. The experimental results show that our method proposed in this paper is robust. In addition, an image database of road traffic marking (www.ananth.in/RoadMarkingdetection.html) is provided to do this experiment for testing our method, the results show that our method is excellent.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 3510-3513
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.3510
• Online since: May 2014
• Authors: Zu Sheng Chen, You Fu Wu*
• Keywords: Average Gray, Image Segmentation, Road Traffic Marking, Standard Image

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