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Proceedings Paper

Threshold-adaptive canny operator based on cross-zero points
Author(s): Boqi Liu; Xiuhua Zhang; Hanyu Hong
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Paper 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.

Paper Details

Date Published: 8 March 2018
PDF: 7 pages
Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106090O (8 March 2018); doi: 10.1117/12.2284459
Show Author Affiliations
Boqi Liu, Lab. of Image Processing and Intelligent Control (China)
Xiuhua Zhang, Lab. of Image Processing and Intelligent Control (China)
Hanyu Hong, Lab. of Image Processing and Intelligent Control (China)


Published in SPIE Proceedings Vol. 10609:
MIPPR 2017: Pattern Recognition and Computer Vision
Zhiguo Cao; Yuehuang Wang; Chao Cai, Editor(s)

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