ZOOMIE v 1.0 (Zooplankton Multiple Image Exclusion) ...

• Main Authors: Schmid, M.S., Aubry, C., Grigor, J., Fortier, L.
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Zenodo 2015
• Subjects: Zooplankton; In-situ imaging; Automatic zooplankton identification model; Canadian Arctic; Lightframe On-sight Keyspecies Investigation LOKI; Arctic; Canada
• Online Access: https://dx.doi.org/10.5281/zenodo.17928; https://zenodo.org/record/17928

5/25/2015 ZOOMIE v 1.0 (Zooplankton Multiple Image Exclusion) Moritz S. Schmid*, Cyril Aubry, Jordan Grigor, Louis Fortier Takuvik Joint International Laboratory, Laval University (Canada) – CNRS (France), UMI3376, Département de biologie et Québec-Océan, Université Laval, Québec, Québec G1V 0A6, Canada * [e-mail] 1. Introduction ZOOMIE is an image treatment tool developed to ensure optimal quality for images collected with the Lightframe On-sight Keyspecies Investigation (LOKI) System, an underwater zooplankton camera system. ZOOMIE does that by identifying cases where multiple pictures of the same specimen have been taken (hereafter referred to as double images), a phenomenon that frequently occurs when imaging plankton in a constrained volume during vertical deployments. The process of identifying double pictures can be carried out manually but is very time consuming. By applying ZOOMIE, the time needed to identify double images is substantially reduced. It is essential to account ...