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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 291-294An Improved Canny Edge Detection Algorithm

An Improved Canny Edge Detection Algorithm

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Abstract:

Traditional Canny edge detection algorithm uses a global threshold selection method, when large changes are in the background of the image and the target gray, global threshold method may lose some local edge information. For this problem, this paper therefore proposes an adaptive dynamic threshold improved Canny edge detection algorithm. The method uses image gradient variance as the criterion of the image block according to the four forks tree principle, then uses the Otsu method to get the corresponding sub-block threshold value for each sub-block, and obtains threshold value matrix by interpolation, finally, gets image edge with improved edge connected algorithm. Experimental results show that, the algorithm not only has good anti-noise performance, but also better detection accuracy.

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Advances in Energy Science and Technology

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Periodical:

Applied Mechanics and Materials (Volumes 291-294)

Pages:

2869-2873

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.291-294.2869

Citation:

Cite this paper

Online since:

February 2013

Authors:

Tao Sun, Chang Zhi Gao

Keywords:

Adaptive Threshold, Canny Algorithm, Edge Detection, Otsu Method

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