Image region correspondence by structural similarity

Presents an approach for matching regions in images. Images are segmented into regions and are individually described by adjacency relations using region tables. The matching procedure is composed of two processes, global structural matching and local region matching. The global structural matching...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Chen, Y.L., Nakatani, H.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 21
container_issue
container_start_page 18
container_title
container_volume
creator Chen, Y.L.
Nakatani, H.
description Presents an approach for matching regions in images. Images are segmented into regions and are individually described by adjacency relations using region tables. The matching procedure is composed of two processes, global structural matching and local region matching. The global structural matching process selects a pair of region tables in two images which have the best resemblance between their adjacencies; the local region matching process matches regions which are surrounding the best matched region, and it has the ability to tolerate inconsistency of region segmentation to some extent.< >
doi_str_mv 10.1109/ICPR.1992.201917
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_201917</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>201917</ieee_id><sourcerecordid>201917</sourcerecordid><originalsourceid>FETCH-LOGICAL-i89t-2458ee4b38a1e17ae8aa0de0b6a8cba40cfc2df6bba42552d7a186c9e71564353</originalsourceid><addsrcrecordid>eNotj8tqwzAURAWl0JJ6X7rSD9iVZD2XxfRhCKSU7MOVfB1U_AiSs_Df15DOZs5qOEPIM2cV58y9ts33T8WdE5Vg3HFzRwpnLLPcauEEkw-kyPmXbVHKaq0fiWxHOCNNeI7zRMOcEubLPHU4BaR-pXlJ17BcEww0xzEOkOKyPpH7HoaMxX_vyPHj_dh8lfvDZ9u87cto3VIKqSyi9LUFjtwAWgDWIfMabPAgWeiD6HrtNxZKic7A5hkcGq60rFW9Iy-32YiIp0uKI6T1dHtW_wGhRESq</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Image region correspondence by structural similarity</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Chen, Y.L. ; Nakatani, H.</creator><creatorcontrib>Chen, Y.L. ; Nakatani, H.</creatorcontrib><description>Presents an approach for matching regions in images. Images are segmented into regions and are individually described by adjacency relations using region tables. The matching procedure is composed of two processes, global structural matching and local region matching. The global structural matching process selects a pair of region tables in two images which have the best resemblance between their adjacencies; the local region matching process matches regions which are surrounding the best matched region, and it has the ability to tolerate inconsistency of region segmentation to some extent.&lt; &gt;</description><identifier>ISBN: 9780818629204</identifier><identifier>ISBN: 0818629207</identifier><identifier>DOI: 10.1109/ICPR.1992.201917</identifier><language>eng</language><publisher>IEEE Comput. Soc. Press</publisher><subject>Image segmentation ; Pixel</subject><ispartof>Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis, 1992, p.18-21</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/201917$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,4036,4037,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/201917$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chen, Y.L.</creatorcontrib><creatorcontrib>Nakatani, H.</creatorcontrib><title>Image region correspondence by structural similarity</title><title>Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis</title><addtitle>ICPR</addtitle><description>Presents an approach for matching regions in images. Images are segmented into regions and are individually described by adjacency relations using region tables. The matching procedure is composed of two processes, global structural matching and local region matching. The global structural matching process selects a pair of region tables in two images which have the best resemblance between their adjacencies; the local region matching process matches regions which are surrounding the best matched region, and it has the ability to tolerate inconsistency of region segmentation to some extent.&lt; &gt;</description><subject>Image segmentation</subject><subject>Pixel</subject><isbn>9780818629204</isbn><isbn>0818629207</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1992</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tqwzAURAWl0JJ6X7rSD9iVZD2XxfRhCKSU7MOVfB1U_AiSs_Df15DOZs5qOEPIM2cV58y9ts33T8WdE5Vg3HFzRwpnLLPcauEEkw-kyPmXbVHKaq0fiWxHOCNNeI7zRMOcEubLPHU4BaR-pXlJ17BcEww0xzEOkOKyPpH7HoaMxX_vyPHj_dh8lfvDZ9u87cto3VIKqSyi9LUFjtwAWgDWIfMabPAgWeiD6HrtNxZKic7A5hkcGq60rFW9Iy-32YiIp0uKI6T1dHtW_wGhRESq</recordid><startdate>1992</startdate><enddate>1992</enddate><creator>Chen, Y.L.</creator><creator>Nakatani, H.</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>1992</creationdate><title>Image region correspondence by structural similarity</title><author>Chen, Y.L. ; Nakatani, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i89t-2458ee4b38a1e17ae8aa0de0b6a8cba40cfc2df6bba42552d7a186c9e71564353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Image segmentation</topic><topic>Pixel</topic><toplevel>online_resources</toplevel><creatorcontrib>Chen, Y.L.</creatorcontrib><creatorcontrib>Nakatani, H.</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>Chen, Y.L.</au><au>Nakatani, H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image region correspondence by structural similarity</atitle><btitle>Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis</btitle><stitle>ICPR</stitle><date>1992</date><risdate>1992</risdate><spage>18</spage><epage>21</epage><pages>18-21</pages><isbn>9780818629204</isbn><isbn>0818629207</isbn><abstract>Presents an approach for matching regions in images. Images are segmented into regions and are individually described by adjacency relations using region tables. The matching procedure is composed of two processes, global structural matching and local region matching. The global structural matching process selects a pair of region tables in two images which have the best resemblance between their adjacencies; the local region matching process matches regions which are surrounding the best matched region, and it has the ability to tolerate inconsistency of region segmentation to some extent.&lt; &gt;</abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ICPR.1992.201917</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9780818629204
ispartof Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis, 1992, p.18-21
issn
language eng
recordid cdi_ieee_primary_201917
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Image segmentation
Pixel
title Image region correspondence by structural similarity
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T12%3A49%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Image%20region%20correspondence%20by%20structural%20similarity&rft.btitle=Proceedings.,%2011th%20IAPR%20International%20Conference%20on%20Pattern%20Recognition.%20Vol.%20III.%20Conference%20C:%20Image,%20Speech%20and%20Signal%20Analysis&rft.au=Chen,%20Y.L.&rft.date=1992&rft.spage=18&rft.epage=21&rft.pages=18-21&rft.isbn=9780818629204&rft.isbn_list=0818629207&rft_id=info:doi/10.1109/ICPR.1992.201917&rft_dat=%3Cieee_6IE%3E201917%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=201917&rfr_iscdi=true