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Edge connection based Canny edge detection algorithm

  • Representation, Processing, Analysis, and Understanding of Images
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Abstract

Double threshold method of traditional Canny operator detects the edge rely on the information of gradient magnitude, which has a lower edge connectivity and incomplete image information. Aiming at this problem, we proposed an edge detection algorithm based edge connection—the Hough Transform based Canny (HT-Canny) edge detection algorithm. HT-Canny algorithm guided by high threshold image, which obtains edge direction through calculating edge endpoint gradient and connects the edge by using the Hough Transform instead of traditional double threshold method. It avoids the limitation of traditional Canny algorithm, which must set the double threshold manually and protect the low intensity edge especially. The experimental results show that HT-Canny algorithm has stronger edge connectivity and can distinguish edge points and non-edge points effectively, which not only retain the advantages of the traditional Canny algorithm but also make the detection result more complete and comprehensive.

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Authors and Affiliations

  1. Department of Information Engineering, Northeast Electric Power University, Jilin, 132012, China

    Renjie Song & Ziqi Zhang

  2. State Grid Jilin Electric Power Co., Ltd. Jilin power company, Jilin, 132012, China

    Haiyang Liu

Authors
  1. Renjie Song
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  2. Ziqi Zhang
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  3. Haiyang Liu
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Corresponding author

Correspondence to Renjie Song.

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The article is published in the original.

Song Renjie was born in Jilin, China, in 1963. She received the bachelor degree in electric power system and automation and master degree in computer science and technology from Northeast Electric Power University in 1985 and 1993, respectively. Now she is a professor of computer science and technology at Northeast Electric Power University. Her research interests include computer applications in power system, pattern recognition, and image processing. She has 10 papers indexed by EI.

Zhang Ziqi was born in LiaoNing, China, in 1963. She received the bachelor degree in electronic Information engineering from Shenyang University of Technology in 2014. Now she is a postgraduate of computer science and technology at Northeast Electric Power University. Her research interests include pattern recognition and image processing.

Liu Haiyang was born in JiLin, China, in 1985. He received the bachelor degree in electric power system and automation from Northeast Electric Power University in 2008 and master degree in control engineering from North China Electric Power University in 2016. Presently, Researcher at State Grid Jilin Electric Power Co., Ltd. Jilin Power Company. Scientific interests: power system analysis and control.

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Song, R., Zhang, Z. & Liu, H. Edge connection based Canny edge detection algorithm. Pattern Recognit. Image Anal. 27, 740–747 (2017). https://doi.org/10.1134/S1054661817040162

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  • DOI: https://doi.org/10.1134/S1054661817040162

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