DELPHI - fast and adaptive computational laser point detection and visual footprint quantification for arbitrary underwater image collections

DELPHI - fast and adaptive computational laser point detection and visual footprint quantification for arbitrary underwater image collections

Marine researchers continue to create large quantities of benthic images e.g. using AUVs (Autonomous Underwater Vehicles). In order to quantify the size of sessile objects in the images, a pixel-to-centimetre ratio is required for each image, often indirectly provided through a geometric laser point...

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Bibliographic Details
Main Authors: Timm eSchoening, Thomas eKuhn, Melanie eBergmann, Tim W Nattkemper
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-04-01
Series:Frontiers in Marine Science
Subjects:
Remote Sensing Technology
image processing
pattern recognition
computational learning
Intelligent systems
Laser point detection
Online Access:http://journal.frontiersin.org/Journal/10.3389/fmars.2015.00020/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fmars.2015.00020/full

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