| Gaussian Noise Power (Pb) | Image Savoise: Performance to noise for a segmentation into 2 classes | |||
| Seg Vect Marginal | Seg Vect Lexico | Seg Vect Hybrid | K-means | |
| Pb = 0.01 | 0 | 0 | 0 | 0 |
| Pb = 0.02 | 0 | 3.05 × 10−5 | 0 | 15.3 × 10−5 |
| Pb = 0.03 | 2.59 × 10−4 | 7.93 × 10−4 | 4.88 × 10−4 | 891 × 10−5 |
| Image Savoise: Performance to noise for a segmentation into 3 classes | ||||
| Pb = 0.01 | 375 × 10−5 | 158 × 10−3 | 466 × 10−3 | 0 |
| Pb = 0.02 | 218 × 10−3 | 183 × 10−3 | 111 × 10−3 | 793 × 10−6 |
| Pb = 0.03 | 514 × 10−3 | 307 × 10−3 | 175 × 10−3 | 129 × 10−3 |
| Image Savoise: Performance to noise for a segmentation into 4 classes | ||||
| Pb = 0.01 | 824 × 10−6 | 824 × 10−6 | 824 × 10−6 | 894 × 10−4 |
| Pb = 0.02 | 421 × 10−4 | 421 × 10−4 | 421 × 10−4 | 885 × 10−4 |
| Pb = 0.03 | 140 × 10−3 | 140 × 10−3 | 140 × 10−3 | 121 × 10−4 |