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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T18:41:28Z</responseDate> <request identifier=oai:HAL:hal-00652125v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-00652125v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:COMM</setSpec> <setSpec>subject:info</setSpec> <setSpec>subject:spi</setSpec> <setSpec>collection:UNIV-TLSE3</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:INSA-TOULOUSE</setSpec> <setSpec>collection:BNRMI</setSpec> <setSpec>collection:UNIV-AG</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>Study of aggregation operators for scheduling clusters in digital images of plants.</title> <creator>Nagau, Jimmy</creator> <creator>Regis, Sébastien</creator> <creator>Henry, Jean-Luc</creator> <creator>Doncescu, Andrei</creator> <contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor> <contributor>Laboratoire d'analyse et d'architecture des systèmes [Toulouse] (LAAS) ; Institut National Polytechnique [Toulouse] (INP) - Institut National des Sciences Appliquées - Toulouse (INSA Toulouse) - Université Paul Sabatier - Toulouse 3 (UPS) - Centre National de la Recherche Scientifique (CNRS)</contributor> <description>International audience</description> <source>Advanced Information Networking and Applications</source> <source>the IEEE International Workshop on Bioinformatics and Life Science Modeling and Computing (BLSMC 12) (AINA)</source> <coverage>Fukuoka, Japan</coverage> <identifier>hal-00652125</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-00652125</identifier> <source>https://hal.archives-ouvertes.fr/hal-00652125</source> <source>the IEEE International Workshop on Bioinformatics and Life Science Modeling and Computing (BLSMC 12) (AINA), Mar 2012, Fukuoka, Japan. pp.1161-1166, 2012, 〈10.1109/WAINA.2012.40〉</source> <identifier>DOI : 10.1109/WAINA.2012.40</identifier> <relation>info:eu-repo/semantics/altIdentifier/doi/10.1109/WAINA.2012.40</relation> <language>en</language> <subject>[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing</subject> <subject>[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing</subject> <type>info:eu-repo/semantics/conferenceObject</type> <type>Conference papers</type> <description lang=en>In this paper, we use a segmentation method applied to the plants images analysis. The segmentation gives groups of pixels, and we propose to use merging operators to address the most relevant groups in order to improve the recognitions systems performance. In particular, we use an operator called Pi fully reinforced. The experiments carried out show that the use of Pi improves outcomes for structuring groups of pixels.</description> <date>2012-03-26</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>