Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0810021(2021)

Edge Detection of Noisy Images in NSCT Domain Based on Fractional Differentiation

Junxie Chen1 and Yipeng Liao2、*
Author Affiliations
  • 1College of Artificial Intelligence, Yango University, Fuzhou, Fujian 350015, China
  • 2College of Physics and Information Engineering, Fuzhou University, Fuzhou, Fujian 350108, China
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    References(21)

    [5] Shi M H, Li Q, Zhao X Q et al. A new approach for image edge detection based on conformal phase[J]. Journal of Electronics & Information Technology, 37, 2594-2600(2015).

    [7] Li M J, Dong Y B, Wang X L et al. Medical image edge detection analysis method based on fractional differential[J]. Advanced Materials Research, 860/861/862/863, 2859-2863(2013).

    [9] Maksimovic V, Lekic P, Petrovic M et al. Experimental analysis of wavelet decomposition on edge detection[J]. Proceedings of the Estonian Academy of Sciences, 68, 284(2019).

    [18] Bui T D, Chen G Y. Translation-invariant denoising using multiwavelets[J]. IEEE Transactions on Signal Processing, 46, 3414-3420(1998).

    [21] Zhang G Y, Gong G Z, Zhu W L et al. Anovel method of color image edge detection based on cloning algorithm[J]. Acta Electronica Sinica, 34, 702-707(2006).

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    Junxie Chen, Yipeng Liao. Edge Detection of Noisy Images in NSCT Domain Based on Fractional Differentiation[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810021

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    Paper Information

    Category: Image Processing

    Received: Jul. 27, 2020

    Accepted: Sep. 24, 2020

    Published Online: Apr. 12, 2021

    The Author Email: Yipeng Liao (fzu_lyp@163.com)

    DOI:10.3788/LOP202158.0810021

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