Yanbing Xu, Yang Zhou, Canbiao Li, Chujun Zheng, Rungu Zhang, Wenbin Wang. Retinal Vessel Segmentation Based on Super-Pixel Affinity Propagation Clustering[J]. Acta Optica Sinica, 2020, 40(2): 0210002
- Acta Optica Sinica
- Vol. 40, Issue 2, 0210002 (2020)
Fig. 1. Framework diagramfor ASLICAP method
Fig. 2. Image pre-processing. (a) Color fundus image; (b) green channel fundus image; (c) CLAHE fundus enhanced image
Fig. 3. B-COSFIRE filter configuration. (a) B-COSFIRE schematic; (b) symmetric B-COSFIRE; (c) asymmetric B-COSFIRE
Fig. 4. Response mapfor each feature. (a) Hessian maximum eigenvalue; (b) Gabor wavelet transform; (c) B-COSFIRE filter
Fig. 5. Pixel point classification diagram. (a) Initial nearest neighbor classification; (b) KNN reclassification
Fig. 6. Segmentation diagrams of ASLICAP method in two databases. (a) DRIVE database; (b) STARE database
Fig. 7. Segmentation diagrams of three clustering methods under the same conditions. (a) Original picture; (b) gold standard; (c) ASLICAP; (d) K-means; (e) FCM
| |||||||||||||||||||||||||||||||||||||||
Table 1. ASLICAP segmentation performance indicators
| |||||||||||||||||||||||||||||||||||||||
Table 2. Comparison of performance parameters of ALISCAP method, K-means, and FCM algorithm
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Table 3. Comparison of segmentation results of different algorithms
Set citation alerts for the article
Please enter your email address
© Copyright 2018-2021 | Chinese Laser Press. All Rights Reserved 沪ICP备15018463号-20