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Implementation and Statistical Comparison of Different Edge Detection Techniques

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Advances in Computer and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 553))

Abstract

This paper provides analysis through disparate detection techniques of edge like Prewitt, Sobel, and Robert to detect edges of the image with different analyses. Image segmentation and data extraction are considered process for edge detection. It is an image processing technique for detecting the boundaries within image. The process involves detecting discontinuities in brightness. In this paper, the proposed method shows the performance analysis of edge detection techniques as mentioned above.

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References

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Author information

Authors and Affiliations

  1. CSE Department, Dr. APJ Abdul Kalam Technical University, Lucknow, UP, India

    Deepali Srivastava

  2. CSE Department, Amity University, Greater Noida, India

    Rashi Kohli & Shubhi Gupta

Authors
  1. Deepali Srivastava
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  2. Rashi Kohli
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  3. Shubhi Gupta
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Corresponding author

Correspondence to Deepali Srivastava .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Missouri, Columbia, Missouri, USA

    Sanjiv K. Bhatia

  2. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  3. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  4. Banaras Hindu University, Varanasi, Uttar Pradesh, India

    Vivek Kumar Singh

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© 2017 Springer Nature Singapore Pte Ltd.

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Srivastava, D., Kohli, R., Gupta, S. (2017). Implementation and Statistical Comparison of Different Edge Detection Techniques. In: Bhatia, S., Mishra, K., Tiwari, S., Singh, V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-10-3770-2_20

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  • DOI: https://doi.org/10.1007/978-981-10-3770-2_20

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3769-6

  • Online ISBN: 978-981-10-3770-2

  • eBook Packages: EngineeringEngineering (R0)

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