Caiyun Wang, Zhiyu Guan, Yida Wu, Chen Yao. Retinal Blood Vessel Segmentation Algorithm Based on Multidirectional Filtering[J]. Laser & Optoelectronics Progress, 2022, 59(8): 0817002
- Laser & Optoelectronics Progress
- Vol. 59, Issue 8, 0817002 (2022)
Fig. 1. Block diagram of retinal blood vessel segmentation method based on multidirectional filtering
Fig. 2. Image segmentation results. (a) Retinal fundus image; (b) fundus image under the green channel; (c) image after histogram equalization and median filtering; (d) morphological top hat transformation image; (e) Cake filtered image; (f) segmentation result of proposed algorithm
Fig. 3. Superimposed images in 6 directions. (a) Retinal fundus image; (b) extraction result at 0°; (c) extraction result at 30°; (d) extraction result at 60°; (e) extraction result at 90°; (f) extraction result at 120°; (g) extraction result at 150°; (h) segmentation result of proposed algorithm
Fig. 4. Segmentation results in the DRIVE data set. (a) Original fundus image; (b) standard image; (c) segmentation result of algorithm in Ref.[13]; (d) segmentation result of proposed algorithm
Fig. 5. Segmentation results in the STARE data set. (a) Original fundus image; (b) standard image; (c) segmentation result of algorithm in Ref.[13]; (d) segmentation result of proposed algorithm
Fig. 6. Partial view of blood vessel. (a) Original fundus partial image; (b) standard partial image; (c) segmentation result of algorithm in Ref.[13]; (d) segmentation result of proposed algorithm
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Table 1. Performance of retinal vessel segmentation algorithms
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Table 2. Running time of retinal vessel segmentation algorithms
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