Detecting ripple patterns in mission videos

Adriana Olmos, Manuel Trucco, Katia Lebart, Dave Lane

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


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 languageEnglish
Pages (from-to)331-336
Number of pages6
JournalOceans Conference Record
Publication statusPublished - 2000
EventOceans 2000 - Providence, RI, USA
Duration: 11 Sept 200014 Sept 2000


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