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Edge Detection Using Guided Image Filtering and Ant Colony Optimization

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Recent Innovations in Computing (ICRIC 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 701))

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Abstract

Edge detection is an important phenomenon in various classes of engineering problems. The classical methods which are based on the kernel designs are not very accurate and edges are falsely detected. Recent methods which are based on soft computing are adaptive in nature, and therefore using soft computing methods accuracy of detected edges can be improved. This paper presents an ant colony optimization-based edge detection process, and where edges are enhanced using guided filtering. The simulation results clearly show that the proposed scheme is much superior to recently proposed edge detection methods.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Delhi Technological University, New Delhi, Delhi, India

    Akshi Kumar

  2. Department of Information Technology, Delhi Technological University, New Delhi, Delhi, India

    Sahil Raheja

Authors
  1. Akshi Kumar
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  2. Sahil Raheja
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Corresponding author

Correspondence to Sahil Raheja .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Pradeep Kumar Singh

  2. Central University of Jammu, Jammu and Kashmir, India

    Yashwant Singh

  3. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

    Maheshkumar H. Kolekar

  4. Department of Management Sciences, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Arpan Kumar Kar

  5. Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, India

    Jitender Kumar Chhabra

  6. Department of Computer Science and Information Technology, Kwantlen Polytechnic University, Surrey, BC, Canada

    Abhijit Sen

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Kumar, A., Raheja, S. (2021). Edge Detection Using Guided Image Filtering and Ant Colony Optimization. In: Singh, P.K., Singh, Y., Kolekar, M.H., Kar, A.K., Chhabra, J.K., Sen, A. (eds) Recent Innovations in Computing. ICRIC 2020. Lecture Notes in Electrical Engineering, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-15-8297-4_26

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  • DOI: https://doi.org/10.1007/978-981-15-8297-4_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8296-7

  • Online ISBN: 978-981-15-8297-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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