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Comparative Analysis of Different Edge Detection Methodologies in Medical Imaging

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Advances in Automation, Signal Processing, Instrumentation, and Control (i-CASIC 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 700))

  • 34 Accesses

Abstract

Edges of an image are perceived to be a kind of essential information that can be collected by providing different techniques using edge operators. This paper discusses a brief analysis of edge detection process concepts, theories behind various edge detectors, and some massive self-written edge detection operations with simulation tests.

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References

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Author information

Authors and Affiliations

  1. School of Electronics Engineering, Vellore Institute of Technology, Vellore, India

    S. Jeevitha

  2. School of Electrical Engineering, Vellore Institute of Technology, Vellore, India

    N. Amutha Prabha

Authors
  1. S. Jeevitha
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  2. N. Amutha Prabha
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Corresponding author

Correspondence to N. Amutha Prabha .

Editor information

Editors and Affiliations

  1. Department of Instrumentation, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India

    Venkata Lakshmi Narayana Komanapalli

  2. Department of Instrumentation and Control Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, India

    N. Sivakumaran

  3. Electrical Power and Control Program, School of Electrical and Computing Engineering, Adama Science and Technology University, Adama, Ethiopia

    Santoshkumar Hampannavar

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Jeevitha, S., Amutha Prabha, N. (2021). Comparative Analysis of Different Edge Detection Methodologies in Medical Imaging. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_296

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  • DOI: https://doi.org/10.1007/978-981-15-8221-9_296

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8220-2

  • Online ISBN: 978-981-15-8221-9

  • eBook Packages: EngineeringEngineering (R0)

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