Table 3.
Comparison of homogeneity value before and after the BAE algorithms processing
| Bands | Homogeneity | Bands | Homogeneity | ||||
|---|---|---|---|---|---|---|---|
| Row | Column | Before | After | Row | Column | Before | After |
| 2 | 2-10 | 0.6508 | 0.8815 | 11 | 2-10 | 0.6380 | 0.8814 |
| 3 | 2-10 | 0.6657 | 0.8820 | 12 | 2-10 | 0.6471 | 0.8812 |
| 4 | 2-10 | 0.6672 | 0.8811 | 13 | 2-10 | 0.6698 | 0.8905 |
| 5 | 2-10 | 0.6412 | 0.8830 | 14 | 2-10 | 0.6503 | 0.8821 |
| 6 | 2-10 | 0.6671 | 0.8806 | 15 | 2-10 | 0.6661 | 0.8903 |
| 7 | 2-10 | 0.6655 | 0.8806 | 16 | 2-10 | 0.6629 | 0.9012 |
| 8 | 2-10 | 0.6309 | 0.8803 | 17 | 2-10 | 0.6547 | 0.8805 |
| 9 | 2-10 | 0.6402 | 0.8833 | 18 | 2-10 | 0.6663 | 0.8907 |
| 10 | 2-10 | 0.6589 | 0.8827 | 19 | 2-10 | 0.6652 | 0.9110 |
The resultant images (randomly from each age group) of Adaptive Clustering Reconstruction (ACR) segmentation with different row and column number are tested with BAE algorithms. The average homogeneity of each resultant image before and after performing BAE algorithms is tabulated: The result shows that the homogeneity is higher after BAE algorithms.