Identifying sea scallops from benthic camera images

  title={Identifying sea scallops from benthic camera images},
  author={Prasanna Kannappan and Justin Walker and Art Trembanis and Herbert G. Tanner},
10 The paper presents an algorithmic framework for the automated analysis of benthic 11 imagery data. The data are collected by an autonomous underwater vehicle for the purpose 12 of population assessment of epibenthic organisms, such as scallops. The architecture consists 13 of three layers of processing: visual attention, graph-cut segmentation methods, and 14 template matching. The visual attention layer filters the imagery input, focusing subsequent 15 processing only on regions in the… CONTINUE READING


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Abundance and size of the sea scallop population in the mid-atlantic

  • J. Walker
  • 2013
Highly Influential
10 Excerpts

Scallop detection in multiple maritime environments

  • M. Dawkins
  • Master’s thesis,
  • 2011
Highly Influential
4 Excerpts

Abundance and size of the sea scallop population in the mid - atlantic 543 bight

  • D. Walther, C. Koch
  • 2013

Quantitative assessment of invasive

  • J. Reuter, B. Laval, A. Trembanis
  • 2012

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