Research Article
Adaptive Thresholding Technique for Retinal Vessel Segmentation Based on GLCM-Energy Information
Table 3
Comparison of AUC of the proposed techniques with previous works on DRIVE.
| Method | AUC |
| Staal et al. [16] | 0.9520 | Niemeijer et al. [15] | 0.9294 | Zana and Klein [8] | 0.8984 | Jiang and Mojon [22] | 0.9114 | Wang et al. [9] | 0.9543 | Chaudhuri et al. [3] | 0.7878 | Soares et al. [17] | 0.9614 | Akram and Khan [20] | 0.963 | MarĂn et al. [19] | 0.9588 | Ricci and Perfetti [18] | 0.9558 | Chakraborti et al. [6] | 0.9419 | = 0.5 () (Gray Intensity) | 0.9656 | = 0.5 () (Gray Intensity) | 0.9711 | = 0.5 () (Gray Intensity) | 0.9698 | = 0.5 () (Green Channel) | 0.9634 | = 0.5 () (Green Channel) | 0.9680 | = 0.5 () (Green Channel) | 0.9658 |
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