Improved canny edge detection algorithm matches traffic signs

Liping Liu

doi:10.1117/12.2244936

29 August 2016 Improved canny edge detection algorithm matches traffic signs

Liping Liu

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100331I (2016) https://doi.org/10.1117/12.2244936
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

Intelligent transportation system is one of the hot topics of current research, including a very critical technology is automatic identification system of traffic signs. In identification system, since image acquisition is affected by the environment, the resulting image quality is uneven, which requires an algorithm suitable for a variety of quality digital images to identify the type of traffic signs. This paper makes some improvement of the originally perfect Canny edge detection operator, to make it suitable for different images, so we can quickly and accurately detect the image edge, further facilitate matching work, automatically identify traffic signs. Experimental results show that the improved Canny edge detection algorithm is fast, and the detected edge is clear and accurate.

Citation Download Citation

Liping Liu "Improved canny edge detection algorithm matches traffic signs", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100331I (29 August 2016); https://doi.org/10.1117/12.2244936

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