Image segmentation via multiresolution diffused expectation-maximisation
Multiresolution diffused expectation maximisation performs segmentation on vector (e.g. color) images within a multiscale framework; segmentation is carried out via the expectation maximisation algorithm, coupled with anisotropic diffusion on classes, in order to account for the spatial dependencies...
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| creator | Boccignone, G. Caggiano, V. Napoletano, P. Ferraro, M. |
| description | Multiresolution diffused expectation maximisation performs segmentation on vector (e.g. color) images within a multiscale framework; segmentation is carried out via the expectation maximisation algorithm, coupled with anisotropic diffusion on classes, in order to account for the spatial dependencies among pixels. |
| doi_str_mv | 10.1109/ICIP.2005.1529744 |
| format | Conference Proceeding |
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Caggiano, V. ; Napoletano, P. ; Ferraro, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-7279d061a92e20d9a46a08420ffeced478e71e39cf46c112264eeb10fa2284113</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Anisotropic magnetoresistance</topic><topic>Image color analysis</topic><topic>Image resolution</topic><topic>Image segmentation</topic><topic>MPEG 4 Standard</topic><topic>MPEG 7 Standard</topic><topic>Partitioning algorithms</topic><topic>Pixel</topic><topic>Probability distribution</topic><topic>Spatial resolution</topic><toplevel>online_resources</toplevel><creatorcontrib>Boccignone, G.</creatorcontrib><creatorcontrib>Caggiano, V.</creatorcontrib><creatorcontrib>Napoletano, P.</creatorcontrib><creatorcontrib>Ferraro, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Boccignone, G.</au><au>Caggiano, V.</au><au>Napoletano, P.</au><au>Ferraro, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image segmentation via multiresolution diffused expectation-maximisation</atitle><btitle>IEEE International Conference on Image Processing 2005</btitle><stitle>ICIP</stitle><date>2005</date><risdate>2005</risdate><volume>1</volume><spage>I</spage><epage>289</epage><pages>I-289</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>9780780391345</isbn><isbn>0780391349</isbn><abstract>Multiresolution diffused expectation maximisation performs segmentation on vector (e.g. color) images within a multiscale framework; segmentation is carried out via the expectation maximisation algorithm, coupled with anisotropic diffusion on classes, in order to account for the spatial dependencies among pixels.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2005.1529744</doi></addata></record> |
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| identifier | ISSN: 1522-4880 |
| ispartof | IEEE International Conference on Image Processing 2005, 2005, Vol.1, p.I-289 |
| issn | 1522-4880 2381-8549 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Anisotropic magnetoresistance Image color analysis Image resolution Image segmentation MPEG 4 Standard MPEG 7 Standard Partitioning algorithms Pixel Probability distribution Spatial resolution |
| title | Image segmentation via multiresolution diffused expectation-maximisation |
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