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An Adaptive Edge Detection Method Based on Canny Operator

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Abstract:

This paper proposes an adaptive Canny operator edge detection algorithm. The proposed method can automatically set the threshold value according to the different image gray-scale gradient histogram adaptively and improve the performance in the detail edge detection and good localization. Experiments show that this method produces better edge detection results performance than the Otsu method. Besides our method, Roberts operator, Prewitt operator, Sobel operator, Log operator and Canny operator based on Otsu algorithm are also tested for comparisons.

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Periodical:

Advanced Materials Research (Volumes 255-260)

Pages:

2037-2041

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.255-260.2037

Citation:

Cite this paper

Online since:

May 2011

Authors:

Bai He Lang, Ling Yun Shen, Tai Lin Han, Yu Qun Chen

Keywords:

Canny Operator, Edge Detection, Gradient Histogram, Otsu Method

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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References

[1] John Canny: IEEE Trans. on PAML, Vol. 8(1986), pp.679-698.

Google Scholar

[2] Yuan-Kai Huo, Gen Wei, Yu-Dong Zhang et. al: International Conference on Image Analysis and Signal Processing(2010), pp.371-374.

Google Scholar

[3] XIA Ming-liang, LI Chao et. al: Optics and Precision Engineering, Vol.18 (2010), pp.334-340, in Chinese.

Google Scholar

[4] ZHAO Xiao-Chuan, LUO Qing-sheng et. al: Optics and Precision Engineering, Vol.18 (2010), pp.1654-1660, in Chinese.

Google Scholar

[5] J.W. Lu, J.C. Ren and Y.Lu: Proc.ISDA'06, Vol. 2(2006), pp.16-18

Google Scholar

[6] Otsu: IEEE Trans on SMC -9, (1979)

Google Scholar

[7] M, Fang, G.X. Yue and Q.C. Yu: Proc. ISIP'09, pp.109-112

Google Scholar

[8] Paul Bao and Lei Zhang: IEEE Transactions on Medical on Medical Imaging, Vol.22, No.9(2003), pp.1089-1099

Google Scholar

[9] Zeng Qingyue, Ding Youdong: Asia-Pacific Conference on Information Processing, Vol. 2 (2009), pp.148-151

Google Scholar

[10] ZHANG Jie, TAN Jie-qing: Computer Applications, Vol.28 (2008), pp.2049-2051, in Chinese.

Google Scholar

[11] YUAN Wei-qi, DONG Qian, SANG Hai-feng: Optics and Precision Engineering, Vol.18 (2010), pp.1675-1683, in Chinese.

Google Scholar

[12] ZHAO Hai-ying, FENG Yue-ping: Optics and Precision Engineering, Vol.18 (2010), pp.1668-1674, in Chinese.

Google Scholar

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