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	Provedor de dados ArchiMer (2) Autor Grosjean, Philippe (2) Artigas, Luis Felipe (1) Colas, Florent (1) Hamad, Denis (1) Wacquet, Guillaume (1) Palavra-chave Analyse automatisée (2) Analyse d'image (2) Automated analysis (2) Classification supervisée (2) Plancton (2) Plankton (2) Active learning (1) Apprentissage actif (1) Biological oceanography (1) Cells counting (1) Costal survey (1) Dénombrement de cellules (1) Image analysis (1) Image processing (1) Machine learning (1) Océanographie biologique (1) Supervised classification (1) Surveillance côtière (1) Mais... Tipo do documento Text (2) Ano 2015 (1) 2014 (1) País France (2) Idioma Francês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Guide méthodologique. Version actualisée de ZooPhytoImage avec refonte de l’interface graphique. Action 9. FlowCam ZooPhytoImage. Livrable n°1. Rapport final ArchiMer Grosjean, Philippe. Zoo/PhytoImage 4 is an « open source » software based on R and ImageJ. It processes numerical images of plankton particles digitized using a FlowCAM, a flat-bed scanner, microor macrophotos, etc. The general concept consists in the individual outlining of particles on the pictures, followed by their measurements (so-called « attributes ») such the size, the shape, transparency, textures, etc. These attributes are then used by a classification tool to automatically predict the taxonomic group the particles belong to. The classifier is obtained after a learning stage using a machine learning algorithm and a training set of pre-identified particles. The algorithm learns to recognize the taxonomic group from the set of attributes measured on the picture. The... Tipo: Text Palavras-chave: Océanographie biologique; Plancton; Surveillance côtière; Analyse automatisée; Analyse d'image; Classification supervisée; Biological oceanography; Plankton; Costal survey; Automated analysis; Image analysis; Machine learning. Ano: 2014 URL: http://archimer.ifremer.fr/doc/00363/47436/47461.pdf Version évolutive de l’outil opérationnel de numérisation et d’analyse semi-automatique d’images de phytoplancton, utilisant le matériel FlowCAM et le logiciel ZooPhytoImage. Nouvelles perspectives ArchiMer Wacquet, Guillaume; Grosjean, Philippe; Colas, Florent; Hamad, Denis; Artigas, Luis Felipe. The coupled system FlowCAM/ZooPhytoImage has become a real operational tool in 2014. However, to be fully adapted to the observations of phytoplankton performed in the context of the REPHY observation network and in order to better respond to present and future requests concerning the evaluation of quality of coastal and marine waters within the European requirements, such as the WFD and MSFD, new functionalities must be integrated into existing tools. Therefore, different axis of development have been proposed by UMONS and Ifremer to adapt both the digitization device and the Zoo/PhytoImage software to the constraints defined by the REPHY. First, version 5 of Zoo/PhytoImage contains recent innovations such as the development of routines to automatically... Tipo: Text Palavras-chave: Plancton; Analyse automatisée; Analyse d'image; Classification supervisée; Apprentissage actif; Dénombrement de cellules; Plankton; Automated analysis; Image processing; Supervised classification; Active learning; Cells counting. Ano: 2015 URL: http://archimer.ifremer.fr/doc/00389/49986/50573.pdf Registros recuperados: 2 Primeira ... 1 ... Última

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