Research Article
Pyramidal Watershed Segmentation Algorithm for High-Resolution Remote Sensing Images Using Discrete Wavelet Transforms
Table 1
The results of image segmentation on each resolution.
| Test image | Scale levels | Selective minima value, H | Number of segments | Computational time (sec) |
| Satellite image 1 | cA0 | 95 | 188 | 0.55 | cA1 | 1000 | 30 | 0.23 | cA2 | 3000 | 7 | 0.15 |
| Satellite image 2 | cA0 | 60 | 215 | 0.75 | cA1 | 1200 | 35 | 0.25 | cA2 | 3900 | 4 | 0.10 |
| Brain image | cA0 | 120 | 62 | 0.45 | cA1 | 500 | 22 | 0.3 | cA2 | 3500 | 2 | 0.10 |
| Flowers image | cA0 | 130 | 69 | 0.40 | cA1 | 800 | 8 | 0.25 | cA2 | 3000 | 3 | 0.10 |
| Peppers image | cA0 | 60 | 38 | 0.35 | cA1 | 1200 | 5 | 0.20 | cA2 | 2700 | 3 | 0.15 |
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