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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>2018-01-15T18:41:45Z</responseDate> <request identifier=oai:HAL:hal-00637144v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-00637144v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:COMM</setSpec> <setSpec>subject:info</setSpec> <setSpec>subject:spi</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:XLIM</setSpec> <setSpec>collection:UNILIM</setSpec> <setSpec>collection:XLIM-SIC</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:BNRMI</setSpec> <setSpec>collection:UNIV-POITIERS</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>A control operator for perceptual grouping based on the Gestalt vision's theory</title> <creator>Nagau, Jimmy</creator> <creator>Capelle-Laizé, Anne-Sophie</creator> <creator>Fernandez-Maloigne, Christine</creator> <creator>Henry, Jean-Luc</creator> <contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor> <contributor>SIC ; XLIM (XLIM) ; Université de Limoges (UNILIM) - Centre National de la Recherche Scientifique (CNRS) - Université de Limoges (UNILIM) - Centre National de la Recherche Scientifique (CNRS) - Université de Poitiers</contributor> <description>International audience</description> <source>Color and Imaging Conference</source> <source>the 19th Color and Imaging Conference (CIC19)</source> <coverage>San Jose, CA, United States</coverage> <identifier>hal-00637144</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-00637144</identifier> <source>https://hal.archives-ouvertes.fr/hal-00637144</source> <source>the 19th Color and Imaging Conference (CIC19), Nov 2011, San Jose, CA, United States. pp.80, 2011</source> <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>The fusion of regions from segmentation is often a required step in order to analyze objects in the scene. It allows to group under a same closure property the partitions of an image, which denote the same object. In this way, several studies have been made. Most of the algorithms are based on global information to evaluate the relevance of region combinations and fusion. In this paper, we propose a merging process based on Gestalt vision's theory. The particularity of our method is to preserve photographer's region of interest thanks to the definition of a new criterion based on Di Zenzo gradient. Thus, region fusion preserves photographer's relevant objects of the scene. The performance of the proposed method is evaluated using various natural images, including Berkeley image database and its accuracy is shown.</description> <date>2011-11-07</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>