Research Article
[Retracted] Environmental and Geographical (EG) Image Classification Using FLIM and CNN Algorithms
Table 2
A study evaluating the performance of several clustering algorithms with respect to background segmentation.
| Image | K-Means | FCM_S | ENFCM | FLICM | M-FLMCM | FLIM |
| S-1 | 85.64 | 85.35 | 81.43 | 92.46 | 92.33 | 87.32 | S-2 | 92.24 | 85.19 | 85.37 | 85.63 | 82.61 | 81.43 | S-3 | 87.32 | 92.33 | 85.19 | 82.71 | 89.70 | 92.24 | S-4 | 80.93 | 87.32 | 83.29 | 89.38 | 92.33 | 89.70 | S-5 | 92.24 | 92.33 | 92.46 | 89.38 | 83.29 | 82.61 | S-6 | 85.37 | 92.24 | 89.70 | 80.93 | 85.37 | 85.64 | S-7 | 89.38 | 85.64 | 85.19 | 85.19 | 82.61 | 82.71 | S-8 | 92.46 | 82.71 | 83.29 | 81.43 | 82.61 | 89.38 | S-9 | 85.35 | 85.35 | 80.93 | 87.35 | 80.93 | 85.35 | S-10 | 89.70 | 85.64 | 92.46 | 83.29 | 85.37 | 81.43 |
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