A unified approach to the segmentation of grey-level and dot-pattern images

The authors show the close relationship between two algorithms developed in their laboratory: (1) for segmenting grey-scale images and (2) for grouping patterns of dots or disconnected edge fragments. In both cases the output consists of objects each of which is bounded by a closed contours and cont...

Full description

Saved in:
Bibliographic Details
Main Authors: Colchester, A.C.F., Robinson, G.P., Griffin, L.D.
Format: Conference Proceeding
Language:English
Subjects:
Cellular neural networks
Computer vision
Filters
Hospitals
Image segmentation
Morphology
Nervous system
Operating systems
Skeleton
Tin
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 322
container_issue
container_start_page 319
container_title
container_volume
creator Colchester, A.C.F.
Robinson, G.P.
Griffin, L.D.
description The authors show the close relationship between two algorithms developed in their laboratory: (1) for segmenting grey-scale images and (2) for grouping patterns of dots or disconnected edge fragments. In both cases the output consists of objects each of which is bounded by a closed contours and contains a skeleton whose components are explicitly linked to boundary components. The second algorithm accomplishes a type of perceptual grouping which has often been regarded as implying a different type of processing from earlier segmentation steps. The authors suggest that early segmentation and later perceptual grouping can be, and should be, considered as fundamentally similar processes.< >
doi_str_mv 10.1109/ICPR.1992.201989
format conference_proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_201989</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>201989</ieee_id><sourcerecordid>201989</sourcerecordid><originalsourceid>FETCH-LOGICAL-i87t-75c67102b695c4a3930d21fc0f71d0f93159e5bda0bc58e495655d3a6afebdf93</originalsourceid><addsrcrecordid>eNotj8tqwzAURAWl0JJ6H7rSD9iVZEvWXQbTR0igJWQfrq0rR8Wxja0W8vc1pLOZxYE5DGNrKTIpBbxsq69DJgFUpoQEC3csgdIKK61RoETxwJJ5_hZLtLbGmEe22_CfPvhAjuM4TgM2Zx4HHs_EZ2ov1EeMYej54Hk70TXt6Jc6jr3jbojpiDHS1PNwwZbmJ3bvsZsp-e8VO769HquPdP_5vq02-zTYMqalbkwphaoN6KbAHHLhlPSN8KV0wkMuNZCuHYq60ZYK0EZrl6NBT7Vb-Io932YDEZ3GaZFP19PtcP4HXEpLzQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A unified approach to the segmentation of grey-level and dot-pattern images</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Colchester, A.C.F. ; Robinson, G.P. ; Griffin, L.D.</creator><creatorcontrib>Colchester, A.C.F. ; Robinson, G.P. ; Griffin, L.D.</creatorcontrib><description>The authors show the close relationship between two algorithms developed in their laboratory: (1) for segmenting grey-scale images and (2) for grouping patterns of dots or disconnected edge fragments. In both cases the output consists of objects each of which is bounded by a closed contours and contains a skeleton whose components are explicitly linked to boundary components. The second algorithm accomplishes a type of perceptual grouping which has often been regarded as implying a different type of processing from earlier segmentation steps. The authors suggest that early segmentation and later perceptual grouping can be, and should be, considered as fundamentally similar processes.&lt; &gt;</description><identifier>ISBN: 9780818629204</identifier><identifier>ISBN: 0818629207</identifier><identifier>DOI: 10.1109/ICPR.1992.201989</identifier><language>eng</language><publisher>IEEE Comput. Soc. Press</publisher><subject>Cellular neural networks ; Computer vision ; Filters ; Hospitals ; Image segmentation ; Morphology ; Nervous system ; Operating systems ; Skeleton ; Tin</subject><ispartof>Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis, 1992, p.319-322</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/201989$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/201989$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Colchester, A.C.F.</creatorcontrib><creatorcontrib>Robinson, G.P.</creatorcontrib><creatorcontrib>Griffin, L.D.</creatorcontrib><title>A unified approach to the segmentation of grey-level and dot-pattern images</title><title>Proceedings., 11th IAPR International Conference on Pattern Recognition. Vol. III. Conference C: Image, Speech and Signal Analysis</title><addtitle>ICPR</addtitle><description>The authors show the close relationship between two algorithms developed in their laboratory: (1) for segmenting grey-scale images and (2) for grouping patterns of dots or disconnected edge fragments. In both cases the output consists of objects each of which is bounded by a closed contours and contains a skeleton whose components are explicitly linked to boundary components. The second algorithm accomplishes a type of perceptual grouping which has often been regarded as implying a different type of processing from earlier segmentation steps. The authors suggest that early segmentation and later perceptual grouping can be, and should be, considered as fundamentally similar processes.&lt; &gt;</description><subject>Cellular neural networks</subject><subject>Computer vision</subject><subject>Filters</subject><subject>Hospitals</subject><subject>Image segmentation</subject><subject>Morphology</subject><subject>Nervous system</subject><subject>Operating systems</subject><subject>Skeleton</subject><subject>Tin</subject><isbn>9780818629204</isbn><isbn>0818629207</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1992</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tqwzAURAWl0JJ6H7rSD9iVZEvWXQbTR0igJWQfrq0rR8Wxja0W8vc1pLOZxYE5DGNrKTIpBbxsq69DJgFUpoQEC3csgdIKK61RoETxwJJ5_hZLtLbGmEe22_CfPvhAjuM4TgM2Zx4HHs_EZ2ov1EeMYej54Hk70TXt6Jc6jr3jbojpiDHS1PNwwZbmJ3bvsZsp-e8VO769HquPdP_5vq02-zTYMqalbkwphaoN6KbAHHLhlPSN8KV0wkMuNZCuHYq60ZYK0EZrl6NBT7Vb-Io932YDEZ3GaZFP19PtcP4HXEpLzQ</recordid><startdate>1992</startdate><enddate>1992</enddate><creator>Colchester, A.C.F.</creator><creator>Robinson, G.P.</creator><creator>Griffin, L.D.</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>A unified approach to the segmentation of grey-level and dot-pattern images</title><author>Colchester, A.C.F. ; Robinson, G.P. ; Griffin, L.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i87t-75c67102b695c4a3930d21fc0f71d0f93159e5bda0bc58e495655d3a6afebdf93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Cellular neural networks</topic><topic>Computer vision</topic><topic>Filters</topic><topic>Hospitals</topic><topic>Image segmentation</topic><topic>Morphology</topic><topic>Nervous system</topic><topic>Operating systems</topic><topic>Skeleton</topic><topic>Tin</topic><toplevel>online_resources</toplevel><creatorcontrib>Colchester, A.C.F.</creatorcontrib><creatorcontrib>Robinson, G.P.</creatorcontrib><creatorcontrib>Griffin, L.D.</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 Xplore</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>Colchester, A.C.F.</au><au>Robinson, G.P.</au><au>Griffin, L.D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A unified approach to the segmentation of grey-level and dot-pattern images</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>319</spage><epage>322</epage><pages>319-322</pages><isbn>9780818629204</isbn><isbn>0818629207</isbn><abstract>The authors show the close relationship between two algorithms developed in their laboratory: (1) for segmenting grey-scale images and (2) for grouping patterns of dots or disconnected edge fragments. In both cases the output consists of objects each of which is bounded by a closed contours and contains a skeleton whose components are explicitly linked to boundary components. The second algorithm accomplishes a type of perceptual grouping which has often been regarded as implying a different type of processing from earlier segmentation steps. The authors suggest that early segmentation and later perceptual grouping can be, and should be, considered as fundamentally similar processes.&lt; &gt;</abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ICPR.1992.201989</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.319-322
issn
language eng
recordid cdi_ieee_primary_201989
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Cellular neural networks
Computer vision
Filters
Hospitals
Image segmentation
Morphology
Nervous system
Operating systems
Skeleton
Tin
title A unified approach to the segmentation of grey-level and dot-pattern images
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T06%3A57%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=A%20unified%20approach%20to%20the%20segmentation%20of%20grey-level%20and%20dot-pattern%20images&rft.btitle=Proceedings.,%2011th%20IAPR%20International%20Conference%20on%20Pattern%20Recognition.%20Vol.%20III.%20Conference%20C:%20Image,%20Speech%20and%20Signal%20Analysis&rft.au=Colchester,%20A.C.F.&rft.date=1992&rft.spage=319&rft.epage=322&rft.pages=319-322&rft.isbn=9780818629204&rft.isbn_list=0818629207&rft_id=info:doi/10.1109/ICPR.1992.201989&rft_dat=%3Cieee_6IE%3E201989%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i87t-75c67102b695c4a3930d21fc0f71d0f93159e5bda0bc58e495655d3a6afebdf93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=201989&rfr_iscdi=true