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Protocole sur les outils de reconnaissance optimisés Manche Atlantique. Action 9 - FlowCam ZooPhytoImage. Livrable n° 2. Rapport final ArchiMer
Wacquet, Guillaume; Lefebvre, Alain.
The FlowCAM/ZooPhytoImage tool is composed of FlowCAM device for digitizing the images of phytoplanktonic particles and ZooPhytoImage software that can automatically identify and count phytoplankton from these images. The latter is a software for image processing and automatic classification, based on the principle of "machine learning". It allows to realize the different steps of the process that leads to the automatic or semi-automatic classification of a set of objects from a given set of images, using supervised learning algorithms. For this, it is necessary to perform a training set composed of images from FlowCAM, representative of particles encountered in the samples to be analyzed later and make an automatic or semiautomatic recognition tool using...
Tipo: Text Palavras-chave: Reconnaissance automatique; Set d'apprentissage; Classification supervisée; Validation croisée; Optimisation d'outils.; Automatic recognition; Training set; Supervised classification; Cross validation; Optimization of tools..
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00363/47437/47463.pdf
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