A Three-Level Graph Based Interactive Volume Segmentation System
We present a new hierarchical graph representation for volume data as well as its associated operations to enable interactive feature segmentation for high-resolution volume data. Our method constructs a low-resolution graph which represents a coarser resolution of the data. This graph enables the u...
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| creator | Huang, Runzhen Ma, Kwan-Liu |
| description | We present a new hierarchical graph representation for volume data as well as its associated operations to enable interactive feature segmentation for high-resolution volume data. Our method constructs a low-resolution graph which represents a coarser resolution of the data. This graph enables the user to interactively sample and edit a feature of interest by drawing strokes on data slices. A subgraph representing the feature is derived with a growing process, and is used to extract the high-resolution version of the feature from the original volume data by performing an automatic mapping and refinement procedure. Our three-level, graph-based approach overcomes partial volume effects that are introduced by downsampling the volume data, and enables interactive segmentation of fine features. We demonstrate the effectiveness of this approach with several challenging 3D segmentation applications. |
| doi_str_mv | 10.1007/11595755_18 |
| format | Conference Proceeding |
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Our method constructs a low-resolution graph which represents a coarser resolution of the data. This graph enables the user to interactively sample and edit a feature of interest by drawing strokes on data slices. A subgraph representing the feature is derived with a growing process, and is used to extract the high-resolution version of the feature from the original volume data by performing an automatic mapping and refinement procedure. Our three-level, graph-based approach overcomes partial volume effects that are introduced by downsampling the volume data, and enables interactive segmentation of fine features. We demonstrate the effectiveness of this approach with several challenging 3D segmentation applications.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540307501</identifier><identifier>ISBN: 3540307508</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540322849</identifier><identifier>EISBN: 3540322841</identifier><identifier>DOI: 10.1007/11595755_18</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Boundary Voxels ; Computer science; control theory; systems ; Exact sciences and technology ; Feature Segmentation ; Fuzzy Segmentation ; Graph Node ; Interactive Segmentation ; Pattern recognition. Digital image processing. Computational geometry</subject><ispartof>Advances in Visual Computing, 2005, p.143-150</ispartof><rights>Springer-Verlag Berlin Heidelberg 2005</rights><rights>2006 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/11595755_18$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/11595755_18$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,779,780,784,789,790,793,4050,4051,27925,38255,41442,42511</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17413353$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><contributor>Boyle, Richard</contributor><contributor>Bebis, George</contributor><contributor>Parvin, Bahram</contributor><contributor>Koracin, Darko</contributor><creatorcontrib>Huang, Runzhen</creatorcontrib><creatorcontrib>Ma, Kwan-Liu</creatorcontrib><title>A Three-Level Graph Based Interactive Volume Segmentation System</title><title>Advances in Visual Computing</title><description>We present a new hierarchical graph representation for volume data as well as its associated operations to enable interactive feature segmentation for high-resolution volume data. Our method constructs a low-resolution graph which represents a coarser resolution of the data. This graph enables the user to interactively sample and edit a feature of interest by drawing strokes on data slices. A subgraph representing the feature is derived with a growing process, and is used to extract the high-resolution version of the feature from the original volume data by performing an automatic mapping and refinement procedure. Our three-level, graph-based approach overcomes partial volume effects that are introduced by downsampling the volume data, and enables interactive segmentation of fine features. We demonstrate the effectiveness of this approach with several challenging 3D segmentation applications.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Boundary Voxels</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Feature Segmentation</subject><subject>Fuzzy Segmentation</subject><subject>Graph Node</subject><subject>Interactive Segmentation</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>9783540307501</isbn><isbn>3540307508</isbn><isbn>9783540322849</isbn><isbn>3540322841</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2005</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNpNUE1Lw0AUXL_AUnvyD-TiwUN0X3Y3m71Zi9ZCwEOr1_CSfWmj-WI3FvrvjVTQuczADMMwjF0DvwPO9T2AMkorlUFywmZGJ0JJLqIokeaUTSAGCIWQ5uzP41pxOGeTUUWh0VJcspn3H3yEgJhrPmEP82Czc0RhSnuqg6XDfhc8oicbrNqBHBZDtafgvau_GgrWtG2oHXCoujZYH_xAzRW7KLH2NPvlKXt7ftosXsL0dblazNOwj8AMoYXCIkbj_jIvIpWUpdIaeRzHESDmNjbWSspBxBZNQSrnvEBdai6RpFUopuzm2NujL7AuHbZF5bPeVQ26QwZaghBKjLnbY86PVrsll-Vd9-kz4NnPi9m_F8U3Vylefg</recordid><startdate>2005</startdate><enddate>2005</enddate><creator>Huang, Runzhen</creator><creator>Ma, Kwan-Liu</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2005</creationdate><title>A Three-Level Graph Based Interactive Volume Segmentation System</title><author>Huang, Runzhen ; Ma, Kwan-Liu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p219t-d1cdaa2575fbc258ff577a066621aabd69dd4eb136da9ce5b00ca7f704ae4d5a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Boundary Voxels</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Feature Segmentation</topic><topic>Fuzzy Segmentation</topic><topic>Graph Node</topic><topic>Interactive Segmentation</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Runzhen</creatorcontrib><creatorcontrib>Ma, Kwan-Liu</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Runzhen</au><au>Ma, Kwan-Liu</au><au>Boyle, Richard</au><au>Bebis, George</au><au>Parvin, Bahram</au><au>Koracin, Darko</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A Three-Level Graph Based Interactive Volume Segmentation System</atitle><btitle>Advances in Visual Computing</btitle><date>2005</date><risdate>2005</risdate><spage>143</spage><epage>150</epage><pages>143-150</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>9783540307501</isbn><isbn>3540307508</isbn><eisbn>9783540322849</eisbn><eisbn>3540322841</eisbn><abstract>We present a new hierarchical graph representation for volume data as well as its associated operations to enable interactive feature segmentation for high-resolution volume data. Our method constructs a low-resolution graph which represents a coarser resolution of the data. This graph enables the user to interactively sample and edit a feature of interest by drawing strokes on data slices. A subgraph representing the feature is derived with a growing process, and is used to extract the high-resolution version of the feature from the original volume data by performing an automatic mapping and refinement procedure. Our three-level, graph-based approach overcomes partial volume effects that are introduced by downsampling the volume data, and enables interactive segmentation of fine features. We demonstrate the effectiveness of this approach with several challenging 3D segmentation applications.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11595755_18</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Advances in Visual Computing, 2005, p.143-150 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_17413353 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Boundary Voxels Computer science control theory systems Exact sciences and technology Feature Segmentation Fuzzy Segmentation Graph Node Interactive Segmentation Pattern recognition. Digital image processing. Computational geometry |
| title | A Three-Level Graph Based Interactive Volume Segmentation System |
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