Research Article
Comparative Study of Retinal Vessel Segmentation Based on Global Thresholding Techniques
Table 4
Performance of different segmentation methods on DRIVE database.
| Method | Average accuracy | Average sensitivity | Average specificity |
| Human observer | 0.9473 | 0.7761 | 0.9725 |
Chaudhuri et al. [6] | 0.8773 | 0.3357 | 0.9794 | Staal et al. [14] | 0.9442 | 0.7345 | 0.9773 | Niemeijer et al. [20] | 0.9416 | 0.7145 | 0.9801 | Zana and Klein [18] | 0.9377 | 0.6971 | 0.9769 | Jiang and Mojon [11] | 0.9212 | 0.6399 | 0.9625 |
Marín et al. [19] | 0.9452 | N/A | N/A | Ricci and Perfetti [24] | 0.9646 | N/A | N/A | Martinez-Perez et al. [17] | 0.9181 | 0.6389 | 0.9496 | Soares et al. [13] | 0.9466 | N/A | N/A | Vlachos and Dermatas [26] | 0.9285 | 0.7468 | 0.9551 | Akram and Khan [42] | 0.9469 | N/A | N/A |
Amin and Hong [37] | 0.9191 | 0.6608 | N/A |
Mendonça and Campilho [28] | 0.9463 | 0.7315 | N/A | Tagore et al. [38] | 0.9424 | N/A | N/A | CLAHE and average filter (ATC) using Otsu | 0.9494 | 0.6535 | 0.9780 | CLAHE and Gaussian filter (ATC) using Otsu | 0.9498 | 0.6729 | 0.9765 | CLAHE with average and Gaussian filters (ATC) using Otsu | 0.9427 | 0.6416 | 0.9717 | CLAHE and adaptive filter (ATC) using Otsu | 0.9368 | 0.6160 | 0.9677 | CLAHE and average filter (ATC) using ISODATA | 0.9516 | 0.6163 | 0.9780 | CLAHE and Gaussian filter (ATC) using ISODATA | 0.9500 | 0.6701 | 0.9770 | CLAHE with average and Gaussian filters (ATC) using ISODATA | 0.9510 | 0.6027 | 0.9846 | CLAHE and adaptive filter (ATC) using ISODATA | 0.9521 | 0.6435 | 0.9819 | Phase congruence with IDM-based threshold (MO) | 0.9430 | 0.7152 | 0.9650 | Phase congruence with IDM-based threshold (MOMF) | 0.9360 | 0.7425 | 0.9546 | Phase congruence with IDM-based threshold (ATC) | 0.9377 | 0.7391 | 0.9569 |
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