Detecting ripple patterns in mission videos

Adriana Olmos, Manuel Trucco, Katia Lebart, Dave Lane

Research output: Contribution to journalArticle

4 Citations (Scopus)

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 languageEnglish
Pages (from-to)331-336
Number of pages6
JournalOceans Conference Record
Volume1
Publication statusPublished - 2000
EventOceans 2000 - Providence, RI, USA
Duration: 11 Sep 200014 Sep 2000

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    Olmos, A., Trucco, M., Lebart, K., & Lane, D. (2000). Detecting ripple patterns in mission videos. Oceans Conference Record, 1, 331-336.