Laser & Optoelectronics Progress, Volume. 57, Issue 8, 081023(2020)
Retinal Blood Vessel Segmentation Using Hessian Based Orientational Adaptive Gabor Wavelet
Fig. 1. Comparison of extracted results of green channel and other channels. (a) Color fundus image; (b) red channel; (c) green channel; (d) blue channel
Fig. 2. Flow chart of proposed method
Fig. 3. Images of pre-processing results. (a) Color fundus image; (b) green channel; (c) expansion of region of interest in
Fig. 4. Normalized results of Hessian matrix feature. (a) Color fundus image; (b) fundus image of green channel of
Fig. 5. Normalized results of Gabor wavelet transform features at different scales. (a) a=2; (b) a=3; (c) a=4; (d) a=5
Fig. 6. Segmentation results of proposed method on DRIVE database. (a) Color fundus image; (b) fundus image of green channel of
Fig. 7. Comparison of partial retinal segmentation images. (a) Complete segmentation image; (b)-(d) partial segmentation images of
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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
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)