Laser & Optoelectronics Progress, Volume. 57, Issue 8, 081023(2020)

Retinal Blood Vessel Segmentation Using Hessian Based Orientational Adaptive Gabor Wavelet

Wenbin Wang, Canbiao Li, and Chujun Zheng*
Author Affiliations
  • [in Chinese]
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    Figures & Tables(8)
    Comparison of extracted results of green channel and other channels. (a) Color fundus image; (b) red channel; (c) green channel; (d) blue channel
    Flow chart of proposed method
    Images of pre-processing results. (a) Color fundus image; (b) green channel; (c) expansion of region of interest in Fig. 3(b); (d) image enhancement of Retinex in Fig. 3(c)
    Normalized results of Hessian matrix feature. (a) Color fundus image; (b) fundus image of green channel of Fig. 4(a); (c) maximal eigenvalue feature image of Hessian matrix of Fig. 4(b)
    Normalized results of Gabor wavelet transform features at different scales. (a) a=2; (b) a=3; (c) a=4; (d) a=5
    Segmentation results of proposed method on DRIVE database. (a) Color fundus image; (b) fundus image of green channel of Fig. 6(a); (c) expert manual segmentation image; (d) segmentation image of proposed method; (e) segmentation image of Gabor-SVM experiment
    Comparison of partial retinal segmentation images. (a) Complete segmentation image; (b)-(d) partial segmentation images of Fig. 7(a)
    • Table 1. Performance comparison of blood vessel segmentation methods on DRIVE database

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      Table 1. Performance comparison of blood vessel segmentation methods on DRIVE database

      MethodSNSPACC
      Chaudhuri et al.[1]0.61680.97410.9284
      Hoover et al.[2]--0.9441
      Soares et al.[8]0.72830.97880.9467
      Zhang et al.[18]0.71200.97240.9382
      First observer0.77630.97230.9470
      Proposed method0.72310.97590.9433
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    Wenbin Wang, Canbiao Li, Chujun Zheng. Retinal Blood Vessel Segmentation Using Hessian Based Orientational Adaptive Gabor Wavelet[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081023

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    Paper Information

    Category: Image Processing

    Received: Jul. 22, 2019

    Accepted: Sep. 24, 2019

    Published Online: Apr. 3, 2020

    The Author Email: Zheng Chujun (cjzheng@scnu.edu.cn)

    DOI:10.3788/LOP57.081023

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