untitled
<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd>
<responseDate>2018-01-15T18:42:42Z</responseDate>
<request identifier=oai:HAL:hal-00602270v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request>
<GetRecord>
<record>
<header>
<identifier>oai:HAL:hal-00602270v1</identifier>
<datestamp>2018-01-11</datestamp>
<setSpec>type:COMM</setSpec>
<setSpec>subject:info</setSpec>
<setSpec>collection:CNRS</setSpec>
<setSpec>collection:UNIV-POITIERS</setSpec>
<setSpec>collection:UNIV-AG</setSpec>
<setSpec>collection:BNRMI</setSpec>
</header>
<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Legendre Spectrum for texture classification</title>
<creator>Grandchamp, Enguerran</creator>
<creator>Mohamed, Abadi</creator>
<contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor>
<contributor>SIGNAL-IMAGE-COMMUNICATION (SIC) ; Université de Poitiers - Centre National de la Recherche Scientifique (CNRS)</contributor>
<description>International audience</description>
<source>ICSP Proceedings</source>
<source>ICSP</source>
<coverage>Beijing, China</coverage>
<identifier>hal-00602270</identifier>
<identifier>https://hal.archives-ouvertes.fr/hal-00602270</identifier>
<source>https://hal.archives-ouvertes.fr/hal-00602270</source>
<source>ICSP, Nov 2006, Beijing, China. pp.1, 2006</source>
<language>en</language>
<subject lang=en>fractal</subject>
<subject lang=en>classification</subject>
<subject lang=en>texture analysis</subject>
<subject lang=en>statistical analysis</subject>
<subject>[INFO.INFO-TI] Computer Science [cs]/Image Processing</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>This paper deals with texture classification using a multifractal approach. More precisely we analyse the singularity/regularity exponent that compose the textures because they theoretically carry most of the information. The analysis is made using the Legendre spectrum. Then a parameter vector is computed to describe this spectrum in order to classify the textures with an unsupervised k-means classifier. The resulting algorithm is evaluated against a classification directly based on the textures.</description>
<date>2006-11-16</date>
</dc>
</metadata>
</record>
</GetRecord>
</OAI-PMH>
