Abstract
Ripple patterns on the sea floor carry information of interest for marine geophysicists, but identifying sand-ripple segments in a long mission video can be very tedious. This work presents a comparison between two experimental algorithms: frequency based method and feature based method. Both pursue the automatic detection of sand ripples in videos of underwater scientific missions. The investigation looks at the robustness of the classifier with increased noise conditions and changes in rotation and spatial frequency of ripple patterns.
| Original language | English |
|---|---|
| Pages (from-to) | 331-336 |
| Number of pages | 6 |
| Journal | Oceans Conference Record |
| Volume | 1 |
| Publication status | Published - 2000 |
| Event | Oceans 2000 - Providence, RI, USA Duration: 11 Sept 2000 → 14 Sept 2000 |
