The binary consistency checking scheme and its applications to seismic horizon detection
Given a set of n-tuples, the binary consistency checking scheme generates a subset in which no two elements intersect. Its applications are demonstrated by two problems in seismic horizon detection: seismic skeletonization and loop-tying. Previously, the authors had applied a matching scheme using d...
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creator | Cheng, Y.-E.C. Lu, S.-Y. |
description | Given a set of n-tuples, the binary consistency checking scheme generates a subset in which no two elements intersect. Its applications are demonstrated by two problems in seismic horizon detection: seismic skeletonization and loop-tying. Previously, the authors had applied a matching scheme using dynamic programming for skeletonization. Comparing the two schemes, the binary consistency checking scheme can be applied to a wider range of problems and provides a user more direct control on the results of correlation than the dynamic programming scheme.< > |
doi_str_mv | 10.1109/CVPR.1988.196276 |
format | Conference Proceeding |
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Its applications are demonstrated by two problems in seismic horizon detection: seismic skeletonization and loop-tying. Previously, the authors had applied a matching scheme using dynamic programming for skeletonization. Comparing the two schemes, the binary consistency checking scheme can be applied to a wider range of problems and provides a user more direct control on the results of correlation than the dynamic programming scheme.< ></description><identifier>ISSN: 1063-6919</identifier><identifier>ISBN: 0818608625</identifier><identifier>ISBN: 9780818608629</identifier><identifier>DOI: 10.1109/CVPR.1988.196276</identifier><language>eng</language><publisher>IEEE Comput. Soc. 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Its applications are demonstrated by two problems in seismic horizon detection: seismic skeletonization and loop-tying. Previously, the authors had applied a matching scheme using dynamic programming for skeletonization. Comparing the two schemes, the binary consistency checking scheme can be applied to a wider range of problems and provides a user more direct control on the results of correlation than the dynamic programming scheme.< ></description><subject>Algorithm design and analysis</subject><subject>Costs</subject><subject>Dynamic programming</subject><subject>Gas detectors</subject><subject>Geology</subject><subject>Grid computing</subject><subject>Labeling</subject><subject>Object detection</subject><subject>Production</subject><subject>Robustness</subject><issn>1063-6919</issn><isbn>0818608625</isbn><isbn>9780818608629</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1988</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkM1LxDAQxQMquK57F0_5B7ombfN1lOIXLChSxNuSphM7uk1Lk4v-9UbWOcx78IaB3yPkirMt58zcNG8vr1tutM5LlkqekAumuZZMy1KckhVnsiqk4eacbGL8ZHlqwU2tV-S9HYB2GOzyTd0UIsYEwWU_gPvC8EFjdiNQG3qKKVI7zwd0NmG-pWmiETCO6OgwLfgzBdpDAveXXpIzbw8RNv-6Ju39Xds8Frvnh6fmdlegVqlwvSwlcFlXPTPSgGCd97XorFOKe9YZL8H01jjfdcZlEYapjCMscOGUqNbk-vgWAWA_Lzhmkv2xhuoXWdRTTQ</recordid><startdate>1988</startdate><enddate>1988</enddate><creator>Cheng, Y.-E.C.</creator><creator>Lu, S.-Y.</creator><general>IEEE Comput. Soc. Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1988</creationdate><title>The binary consistency checking scheme and its applications to seismic horizon detection</title><author>Cheng, Y.-E.C. ; Lu, S.-Y.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i87t-cd626e1643d0969e50bff45bac771f0b9f6e9da9cfbb9c9cf59071065ae15c753</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1988</creationdate><topic>Algorithm design and analysis</topic><topic>Costs</topic><topic>Dynamic programming</topic><topic>Gas detectors</topic><topic>Geology</topic><topic>Grid computing</topic><topic>Labeling</topic><topic>Object detection</topic><topic>Production</topic><topic>Robustness</topic><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Y.-E.C.</creatorcontrib><creatorcontrib>Lu, S.-Y.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cheng, Y.-E.C.</au><au>Lu, S.-Y.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The binary consistency checking scheme and its applications to seismic horizon detection</atitle><btitle>Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition</btitle><stitle>CVPR</stitle><date>1988</date><risdate>1988</risdate><spage>463</spage><epage>468</epage><pages>463-468</pages><issn>1063-6919</issn><isbn>0818608625</isbn><isbn>9780818608629</isbn><abstract>Given a set of n-tuples, the binary consistency checking scheme generates a subset in which no two elements intersect. Its applications are demonstrated by two problems in seismic horizon detection: seismic skeletonization and loop-tying. Previously, the authors had applied a matching scheme using dynamic programming for skeletonization. Comparing the two schemes, the binary consistency checking scheme can be applied to a wider range of problems and provides a user more direct control on the results of correlation than the dynamic programming scheme.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/CVPR.1988.196276</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Algorithm design and analysis Costs Dynamic programming Gas detectors Geology Grid computing Labeling Object detection Production Robustness |
title | The binary consistency checking scheme and its applications to seismic horizon detection |
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