Bowstring-based dual-threshold computation method for adaptive Canny edge detector

Xiangdong Liu; Yin Yu; Bing Liu; Zhen Li

doi:10.1109/IVCNZ.2013.6726985

Bowstring-based dual-threshold computation method for adaptive Canny edge detector

Xiangdong Liu, Yin Yu, Bing Liu, Zhen Li

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

Abstract

This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching two tangent points with transitional characteristics. This skillful algorithm of the dual-threshold computation method is further evaluated by using the receiver operating characteristics (ROC) curve evaluation method. The detailed comparison to the Otsu's method is presented and demonstrates the reliability and robust performance of the proposed dual-threshold computation method.

Original language	English
Title of host publication	Proceedings of 2013 28th International Conference on Image and Vision Computing New Zealand, IVCNZ 2013
Pages	13-18
Number of pages	6
DOIs	https://doi.org/10.1109/IVCNZ.2013.6726985
Publication status	Published - 2013
Event	2013 28th International Conference on Image and Vision Computing New Zealand, IVCNZ 2013 - Wellington, New Zealand Duration: 27 Nov 2013 → 29 Nov 2013

Publication series

Name	International Conference Image and Vision Computing New Zealand
ISSN (Print)	2151-2191
ISSN (Electronic)	2151-2205

Conference

Conference	2013 28th International Conference on Image and Vision Computing New Zealand, IVCNZ 2013
Country/Territory	New Zealand
City	Wellington
Period	27/11/13 → 29/11/13

Keywords

Adaptive dual-threshold computation
Canny edge detector
Gradient magnitude histogram (GMH)
Unsupervised hysteresis thresholding

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10.1109/IVCNZ.2013.6726985

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Liu, X., Yu, Y., Liu, B., & Li, Z. (2013). Bowstring-based dual-threshold computation method for adaptive Canny edge detector. In Proceedings of 2013 28th International Conference on Image and Vision Computing New Zealand, IVCNZ 2013 (pp. 13-18). Article 6726985 (International Conference Image and Vision Computing New Zealand). https://doi.org/10.1109/IVCNZ.2013.6726985

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title = "Bowstring-based dual-threshold computation method for adaptive Canny edge detector",

abstract = "This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching two tangent points with transitional characteristics. This skillful algorithm of the dual-threshold computation method is further evaluated by using the receiver operating characteristics (ROC) curve evaluation method. The detailed comparison to the Otsu's method is presented and demonstrates the reliability and robust performance of the proposed dual-threshold computation method.",

keywords = "Adaptive dual-threshold computation, Canny edge detector, Gradient magnitude histogram (GMH), Unsupervised hysteresis thresholding",

author = "Xiangdong Liu and Yin Yu and Bing Liu and Zhen Li",

year = "2013",

doi = "10.1109/IVCNZ.2013.6726985",

language = "English",

isbn = "9781479908820",

series = "International Conference Image and Vision Computing New Zealand",

pages = "13--18",

booktitle = "Proceedings of 2013 28th International Conference on Image and Vision Computing New Zealand, IVCNZ 2013",

note = "2013 28th International Conference on Image and Vision Computing New Zealand, IVCNZ 2013 ; Conference date: 27-11-2013 Through 29-11-2013",

}

Liu, X, Yu, Y, Liu, B & Li, Z 2013, Bowstring-based dual-threshold computation method for adaptive Canny edge detector. in Proceedings of 2013 28th International Conference on Image and Vision Computing New Zealand, IVCNZ 2013., 6726985, International Conference Image and Vision Computing New Zealand, pp. 13-18, 2013 28th International Conference on Image and Vision Computing New Zealand, IVCNZ 2013, Wellington, New Zealand, 27/11/13. https://doi.org/10.1109/IVCNZ.2013.6726985

Bowstring-based dual-threshold computation method for adaptive Canny edge detector. / Liu, Xiangdong; Yu, Yin; Liu, Bing et al.
Proceedings of 2013 28th International Conference on Image and Vision Computing New Zealand, IVCNZ 2013. 2013. p. 13-18 6726985 (International Conference Image and Vision Computing New Zealand).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching two tangent points with transitional characteristics. This skillful algorithm of the dual-threshold computation method is further evaluated by using the receiver operating characteristics (ROC) curve evaluation method. The detailed comparison to the Otsu's method is presented and demonstrates the reliability and robust performance of the proposed dual-threshold computation method.

AB - This paper proposed a novel dual-threshold computation method of Canny edge detector based on gradient magnitude histogram (GMH), targeting with the adaptive acquisition of low-/high-threshold for unimodal hysteresis thresholding. With the introduction of the bowstring concept, which accurately measures the tendency of the GMH on the whole, the dual-threshold computation is implemented by adaptive-searching two tangent points with transitional characteristics. This skillful algorithm of the dual-threshold computation method is further evaluated by using the receiver operating characteristics (ROC) curve evaluation method. The detailed comparison to the Otsu's method is presented and demonstrates the reliability and robust performance of the proposed dual-threshold computation method.

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KW - Gradient magnitude histogram (GMH)

KW - Unsupervised hysteresis thresholding

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DO - 10.1109/IVCNZ.2013.6726985

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SN - 9781479908820

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Bowstring-based dual-threshold computation method for adaptive Canny edge detector

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