The Detection Method of Lane Line Based on the Improved Otsu Threshold Segmentation

Yang Shan Tang; Dao Hua Xia; Gui Yang Zhang; Li Na Ge; Xin Yang Yan

doi:10.4028/www.scientific.net/AMM.741.354

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 741The Detection Method of Lane Line Based on the...

The Detection Method of Lane Line Based on the Improved Otsu Threshold Segmentation

Abstract:

For overcoming the shortage of Otsu method, proposed an improved Otsu threshold segmentation algorithm. On the basis of Otsu threshold segmentation algorithm, the gray level was divided into two classes according to the image segmentation, to determine the best threshold by comparing their center distance, so as to achieve peak line recognition under the condition of multiple gray levels. Then did experiments on image segmentation of the lane line with MATLAB by traditional Otsu threshold segmentation algorithm and the improved algorithm, the threshold of traditional Otsu threshold segmentation algorithm is 144 and the threshold of the improved Otsu threshold segmentation algorithm is 131, the processing time is within 0.453 s. Test results show that the white part markings appear more, the intersection place of white lines and the background is more clear, so this method can identify lane markings well and meet the real-time requirements.

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Periodical:

Applied Mechanics and Materials (Volume 741)

Pages:

354-358

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.741.354

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Online since:

March 2015

Authors:

Yang Shan Tang*, Dao Hua Xia, Gui Yang Zhang, Li Na Ge, Xin Yang Yan

Keywords:

Image Processing, Lane Line Identification, Threshold Segmentation

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* - Corresponding Author

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