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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Kermad, C., Chehdi, K., Cariou, C.
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