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Comparative Analysis of Edge Detectors Applying on the Noisy Image Using Edge-Preserving Filter

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Advanced Network Technologies and Intelligent Computing (ANTIC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1534))

Abstract

In computer vision, edge detection is a fundamental technique. It is used as a pre-processing technique to make image segmentation, pattern recognition, and feature extraction more comfortable. Digital images are often corrupted by the noise that causes the detection of spurious edges during edge detection. Thus, we’d like to suppress the maximum amount of noise as potential while retaining important image features such as edges, corners, and other sharp structures. This research compares multiple edge detection methods applied to a filtered image by adding speckle noise. In this paper, four edge detection operators have been applied to an image denoised by various edge-preserving filters, and their performance is evaluated based on the performance metrics peak signal-to-noise ratio (PSNR) and mean squared error (MSE). Images from the Barcelona Images for Perceptual Edge Detection Dataset (BIPED) are used for performance evaluation of filters and edge detection techniques. The experimental results show that a bilateral filter with a Canny edge detection operator is the most optimized method for edge detection of speckle-noise-affected images.

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Authors and Affiliations

  1. School of Computing, Indian Institute of Information Technology Una, Una, 177220, Himachal Pradesh, India

    Tapendra Kumar & Shawli Bardhan

Authors
  1. Tapendra Kumar
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  2. Shawli Bardhan
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Editors and Affiliations

  1. Ryerson University, Toronto, ON, Canada

    Isaac Woungang

  2. Netaji Subhas University of Technology, New Delhi, India

    Sanjay Kumar Dhurandher

  3. ABV-Indian Institute of Information Technology and Management, Gwalior, India

    Kiran Kumar Pattanaik

  4. Banaras Hindu University, Varanasi, India

    Anshul Verma

  5. Indian Institute of Technology BHU, Varanasi, India

    Pradeepika Verma

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Kumar, T., Bardhan, S. (2022). Comparative Analysis of Edge Detectors Applying on the Noisy Image Using Edge-Preserving Filter. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2021. Communications in Computer and Information Science, vol 1534. Springer, Cham. https://doi.org/10.1007/978-3-030-96040-7_29

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  • DOI: https://doi.org/10.1007/978-3-030-96040-7_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96039-1

  • Online ISBN: 978-3-030-96040-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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