Acta Optica Sinica, Volume. 41, Issue 4, 0410001(2021)

Retinal Blood Vessel Segmentation Based on Multi-Scale Wavelet Transform Fusion

Feng Tian*, Ying Li, and Jing Wang
Author Affiliations
  • College of Communication and Information Engineering, Xi'an University of Science and Technology, Xi'an, Shaanxi 710054, China
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    References(27)

    [6] Yan Z Q, Yang X, Cheng K T. A three-stage deep learning model for accurate retinal vessel segmentation[J]. IEEE Journal of Biomedical and Health Informatics, 23, 1427-1436(2019).

    [9] Rodrigues L C, Marengoni M. Segmentation of optic disc and blood vessels in retinal images using wavelets, mathematical morphology and Hessian-based multi-scale filtering[J]. Biomedical Signal Processing and Control, 36, 39-49(2017).

    [10] Aguirre-Ramos H. Avina-Cervantes J G, Cruz-Aceves I, et al. Blood vessel segmentation in retinal fundus images using Gabor filters, fractional derivatives, and expectation maximization[J]. Applied Mathematics and Computation, 339, 568-587(2018).

    [15] Yang H, Wu X T, He B G et al. Image fusion based on multiscale guided filters[J]. Journal of Optoelectronics·Laser, 26, 170-176(2015).

    [27] Rezaee K, Haddadnia J, Tashk A. Optimized clinical segmentation of retinal blood vessels by using combination of adaptive filtering, fuzzy entropy and skeletonization[J]. Applied Soft Computing, 52, 937-951(2017).

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    Feng Tian, Ying Li, Jing Wang. Retinal Blood Vessel Segmentation Based on Multi-Scale Wavelet Transform Fusion[J]. Acta Optica Sinica, 2021, 41(4): 0410001

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    Paper Information

    Category: Image Processing

    Received: Aug. 24, 2020

    Accepted: Sep. 30, 2020

    Published Online: Feb. 25, 2021

    The Author Email: Feng Tian (tianfeng@xust.edu.cn)

    DOI:10.3788/AOS202141.0410001

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