Image segmentation by iterative region-contour control minimizing a convergence criterion
This paper focuses on the problem of image segmentation. It addresses the inherent deficiencies occurring when extracting low-level features (primitives) and when dealing with the complexity of real scenes. To solve such a problem we propose a general framework which integrates several types of prim...
Gespeichert in:
Hauptverfasser: | , , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1315 vol.2 |
---|---|
container_issue | |
container_start_page | 1312 |
container_title | |
container_volume | 2 |
creator | Kermad, C. Chehdi, K. Cariou, C. |
description | This paper focuses on the problem of image segmentation. It addresses the inherent deficiencies occurring when extracting low-level features (primitives) and when dealing with the complexity of real scenes. To solve such a problem we propose a general framework which integrates several types of primitives formed progressively from different complementary transformations of the image in an iterative and cooperative way. The main idea consists in initializing the method by several over segmentations. Then, the formation of primitives with increasingly tolerant criteria is iterated until a convergence between the results is reached. |
doi_str_mv | 10.1109/ICSIGP.1996.566538 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_566538</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>566538</ieee_id><sourcerecordid>566538</sourcerecordid><originalsourceid>FETCH-LOGICAL-i104t-a5dfb064b7e8a639ad06933806bf16c30785266cb38ff4960ed6a115c12557b93</originalsourceid><addsrcrecordid>eNotT8FKxDAUDIigrvsDe8oPtL40zWtzlKJrYUFBPXhakvS1RLappHVh_XpbducyzMAMM4xtBKRCgH6oq_d6-5YKrTFViEqWV-wOihJkpkUGN2w9jt8wI1dKZnjLvuredMRH6noKk5n8ELg9cT9RnMWReKRu9hI3hGn4jXzhOBx474Pv_Z8PHTeLeaTYUXDEXVyyc-SeXbfmMNL6wiv2-fz0Ub0ku9dtXT3uEi8gnxKjmtYC5rag0qDUpgHUUpaAthXo5DxeZYjOyrJtc41ADRohlBOZUoXVcsU2515PRPuf6HsTT_vzefkPgVZRxQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Image segmentation by iterative region-contour control minimizing a convergence criterion</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Kermad, C. ; Chehdi, K. ; Cariou, C.</creator><creatorcontrib>Kermad, C. ; Chehdi, K. ; Cariou, C.</creatorcontrib><description>This paper focuses on the problem of image segmentation. It addresses the inherent deficiencies occurring when extracting low-level features (primitives) and when dealing with the complexity of real scenes. To solve such a problem we propose a general framework which integrates several types of primitives formed progressively from different complementary transformations of the image in an iterative and cooperative way. The main idea consists in initializing the method by several over segmentations. Then, the formation of primitives with increasingly tolerant criteria is iterated until a convergence between the results is reached.</description><identifier>ISBN: 0780329120</identifier><identifier>ISBN: 9780780329126</identifier><identifier>DOI: 10.1109/ICSIGP.1996.566538</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer vision ; Convergence ; Image analysis ; Image recognition ; Image segmentation ; Integrated optics ; Layout ; Performance analysis ; Shape ; Signal analysis</subject><ispartof>Proceedings of Third International Conference on Signal Processing (ICSP'96), 1996, Vol.2, p.1312-1315 vol.2</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/566538$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4047,4048,27923,54918</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/566538$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kermad, C.</creatorcontrib><creatorcontrib>Chehdi, K.</creatorcontrib><creatorcontrib>Cariou, C.</creatorcontrib><title>Image segmentation by iterative region-contour control minimizing a convergence criterion</title><title>Proceedings of Third International Conference on Signal Processing (ICSP'96)</title><addtitle>ICSIGP</addtitle><description>This paper focuses on the problem of image segmentation. It addresses the inherent deficiencies occurring when extracting low-level features (primitives) and when dealing with the complexity of real scenes. To solve such a problem we propose a general framework which integrates several types of primitives formed progressively from different complementary transformations of the image in an iterative and cooperative way. The main idea consists in initializing the method by several over segmentations. Then, the formation of primitives with increasingly tolerant criteria is iterated until a convergence between the results is reached.</description><subject>Computer vision</subject><subject>Convergence</subject><subject>Image analysis</subject><subject>Image recognition</subject><subject>Image segmentation</subject><subject>Integrated optics</subject><subject>Layout</subject><subject>Performance analysis</subject><subject>Shape</subject><subject>Signal analysis</subject><isbn>0780329120</isbn><isbn>9780780329126</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1996</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT8FKxDAUDIigrvsDe8oPtL40zWtzlKJrYUFBPXhakvS1RLappHVh_XpbducyzMAMM4xtBKRCgH6oq_d6-5YKrTFViEqWV-wOihJkpkUGN2w9jt8wI1dKZnjLvuredMRH6noKk5n8ELg9cT9RnMWReKRu9hI3hGn4jXzhOBx474Pv_Z8PHTeLeaTYUXDEXVyyc-SeXbfmMNL6wiv2-fz0Ub0ku9dtXT3uEi8gnxKjmtYC5rag0qDUpgHUUpaAthXo5DxeZYjOyrJtc41ADRohlBOZUoXVcsU2515PRPuf6HsTT_vzefkPgVZRxQ</recordid><startdate>1996</startdate><enddate>1996</enddate><creator>Kermad, C.</creator><creator>Chehdi, K.</creator><creator>Cariou, C.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1996</creationdate><title>Image segmentation by iterative region-contour control minimizing a convergence criterion</title><author>Kermad, C. ; Chehdi, K. ; Cariou, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-a5dfb064b7e8a639ad06933806bf16c30785266cb38ff4960ed6a115c12557b93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Computer vision</topic><topic>Convergence</topic><topic>Image analysis</topic><topic>Image recognition</topic><topic>Image segmentation</topic><topic>Integrated optics</topic><topic>Layout</topic><topic>Performance analysis</topic><topic>Shape</topic><topic>Signal analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Kermad, C.</creatorcontrib><creatorcontrib>Chehdi, K.</creatorcontrib><creatorcontrib>Cariou, C.</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>Kermad, C.</au><au>Chehdi, K.</au><au>Cariou, C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image segmentation by iterative region-contour control minimizing a convergence criterion</atitle><btitle>Proceedings of Third International Conference on Signal Processing (ICSP'96)</btitle><stitle>ICSIGP</stitle><date>1996</date><risdate>1996</risdate><volume>2</volume><spage>1312</spage><epage>1315 vol.2</epage><pages>1312-1315 vol.2</pages><isbn>0780329120</isbn><isbn>9780780329126</isbn><abstract>This paper focuses on the problem of image segmentation. It addresses the inherent deficiencies occurring when extracting low-level features (primitives) and when dealing with the complexity of real scenes. To solve such a problem we propose a general framework which integrates several types of primitives formed progressively from different complementary transformations of the image in an iterative and cooperative way. The main idea consists in initializing the method by several over segmentations. Then, the formation of primitives with increasingly tolerant criteria is iterated until a convergence between the results is reached.</abstract><pub>IEEE</pub><doi>10.1109/ICSIGP.1996.566538</doi></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 0780329120 |
ispartof | Proceedings of Third International Conference on Signal Processing (ICSP'96), 1996, Vol.2, p.1312-1315 vol.2 |
issn | |
language | eng |
recordid | cdi_ieee_primary_566538 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Computer vision Convergence Image analysis Image recognition Image segmentation Integrated optics Layout Performance analysis Shape Signal analysis |
title | Image segmentation by iterative region-contour control minimizing a convergence criterion |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T18%3A09%3A23IST&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%20segmentation%20by%20iterative%20region-contour%20control%20minimizing%20a%20convergence%20criterion&rft.btitle=Proceedings%20of%20Third%20International%20Conference%20on%20Signal%20Processing%20(ICSP'96)&rft.au=Kermad,%20C.&rft.date=1996&rft.volume=2&rft.spage=1312&rft.epage=1315%20vol.2&rft.pages=1312-1315%20vol.2&rft.isbn=0780329120&rft.isbn_list=9780780329126&rft_id=info:doi/10.1109/ICSIGP.1996.566538&rft_dat=%3Cieee_6IE%3E566538%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=566538&rfr_iscdi=true |