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Cited by 452

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An improved Sobel edge detection

Wenshuo Gao, Xiaoguang Zhang, Lei Yang, Huizhong Liu·2010·2010 3rd International Conference on Computer Science and Information Technology

Abstract

This paper proposes a method which combines Sobel edge detection operator and soft-threshold wavelet de-noising to do edge detection on images which include White Gaussian noises. In recent years, a lot of edge detection methods are proposed. The commonly used methods which combine mean de-noising and Sobel operator or median filtering and Sobel operator can not remove salt and pepper noise very well. In this paper, we firstly use soft-threshold wavelet to remove noise, then use Sobel edge detection operator to do edge detection on the image. This method is mainly used on the images which includes White Gaussian noises. Through the pictures obtained by the experiment, we can see very clearly that, compared to the traditional edge detection methods, the method proposed in this paper has a more obvious effect on edge detection.

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Metadata

Authors
Gao, W., Zhang, X., Yang, L., & Liu, H.
Venue
2010 3rd International Conference on Computer Science and Information Technology
Publisher
IEEE
Published
2010-07
Pages
67-71
OpenAlex
W2168014483
Cited by
452
References
1
FWCI
10.45
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: An improved Sobel edge detection. https://app.cochat.ai/papers/10.1109/iccsit.2010.5563693
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Gao, W., Zhang, X., Yang, L., & Liu, H. (2010). An improved Sobel edge detection. 2010 3rd International Conference on Computer Science and Information Technology. https://doi.org/10.1109/iccsit.2010.5563693

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