Threshold-adaptive canny operator based on cross-zero points

Boqi Liu; Xiuhua Zhang; Hanyu Hong

doi:10.1117/12.2284459

8 March 2018 Threshold-adaptive canny operator based on cross-zero points

Boqi Liu, Xiuhua Zhang, Hanyu Hong

Author Affiliations +

Proceedings Volume 10609, MIPPR 2017: Pattern Recognition and Computer Vision; 106090O (2018) https://doi.org/10.1117/12.2284459
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

Canny edge detection[1] is a technique to extract useful structural information from different vision objects and dramatically reduce the amount of data to be processed. It has been widely applied in various computer vision systems. There are two thresholds have to be settled before the edge is segregated from background. Usually, by the experience of developers, two static values are set as the thresholds[2]. In this paper, a novel automatic thresholding method is proposed. The relation between the thresholds and Cross-zero Points is analyzed, and an interpolation function is deduced to determine the thresholds. Comprehensive experimental results demonstrate the effectiveness of proposed method and advantageous for stable edge detection at changing illumination.

Citation Download Citation

Boqi Liu, Xiuhua Zhang, and Hanyu Hong "Threshold-adaptive canny operator based on cross-zero points", Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090O (8 March 2018); https://doi.org/10.1117/12.2284459

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