An improved dynamic double threshold Canny edge detection algorithm

Zhikang Xiao; Yang Zou; Zhen Wang

doi:10.1117/12.2539300

14 February 2020 An improved dynamic double threshold Canny edge detection algorithm

Zhikang Xiao, Yang Zou, Zhen Wang

Proceedings Volume 11430, MIPPR 2019: Pattern Recognition and Computer Vision; 1143016 (2020) https://doi.org/10.1117/12.2539300
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

With the upgrade of the industry, robots urgently need to track moving targets at high speed. Therefore, the detection algorithms in machine vision technology need to be improved. Aiming at the problem that high and low thresholds need to be fixed in traditional Canny edge detection algorithm, an improved dynamic double threshold Canny algorithm is proposed. Constantly increasing the size of the threshold, Using the size of the area where the image edge is closed as a standard, finally to determine the best threshold, In order to achieve the best detection effect. Experimental results show that, Improved dynamic double threshold Canny algorithm not only improves the edge detection effect by 9% on average compared with the traditional algorithm, but also detects more complete image information and has stronger adaptability.

Citation Download Citation

Zhikang Xiao, Yang Zou, and Zhen Wang "An improved dynamic double threshold Canny edge detection algorithm", Proc. SPIE 11430, MIPPR 2019: Pattern Recognition and Computer Vision, 1143016 (14 February 2020); https://doi.org/10.1117/12.2539300

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