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International Conference in Communications, Signal Processing, and Systems

CSPS 2018: Communications, Signal Processing, and Systems pp 105–110Cite as

An Improved Harris Corner Detection Algorithm

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

Abstract

The traditional Harris corner detection algorithm is sensitive to noise, and Corner is prone to drift at different image resolution. Combined with the multi-scale features of wavelet transform, propose a corner detection algorithm based on the wavelet transform. The algorithm maintains the advantages of Harris corner detection algorithm in image scaling, rotation or gray scale change, improves its disadvantage of scale invariance, and has strong anti-noise and real-time performance. It has good anti-noise and real-time performance.

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References

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Acknowledgements

Project found: (1) Young teachers development and support program of Anhui Technical College of Mechanical and Electrical Engineering (project number: 2015yjzr028); (2) Anhui Quality Engineering Project “Industrial Robot Virtual Simulation Experimental Teaching Center” (project number:2016xnzx007); (3) nhui Province Quality Engineering Project “Exploration and Practice of Innovative and Entrepreneurial Talents Training Mechanism for Applied Electronic Technology Specialty in Higher Vocational Colleges” (project number:2016jyxm0196); (4) Anhui Quality Engineering Project (MOOC) “Off-line Programming of Industrial Robots” (project number:2017 mooc091).

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Authors and Affiliations

  1. Department of Electronic Engineering, Anhui Technical College of Mechanical and Electrical Engineering, Wuhu, 241000, Anhui, China

    Qingfeng Sun

Authors
  1. Qingfeng Sun
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Corresponding author

Correspondence to Qingfeng Sun .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Cite this paper

Sun, Q. (2020). An Improved Harris Corner Detection Algorithm. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_14

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_14

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

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