2D fuzzy spatial relations and their applications to DICOM medical images

2D fuzzy spatial relations and their applications to DICOM medical images

In this paper we propose a model of fuzzy spatial relations, which can be used to describe imprecise spatial data on 2D images. This model defines relations very similar to those existing in natural language and reasoning, like "on the left side of the image", "in the center of the im...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Jocic, M., Obradovic, D., Konjovic, Z., Pap, E.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Data models
DICOM
Digital images
Informatics
Intelligent systems
Spatial databases
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 44
container_issue
container_start_page 39
container_title
container_volume
creator Jocic, M.
Obradovic, D.
Konjovic, Z.
Pap, E.
description In this paper we propose a model of fuzzy spatial relations, which can be used to describe imprecise spatial data on 2D images. This model defines relations very similar to those existing in natural language and reasoning, like "on the left side of the image", "in the center of the image", "right/left of", "above/below of", "(very) close to", "(very) far from", "at distance of", etc. Composition operators and, or, not and subtract are defined in order to combine these basic fuzzy spatial relations into more complex ones. In addition, formula for calculating membership value of imprecise region to fuzzy spatial relation is defined. Proposed model is verified through the example of practical application on DICOM medical images.
doi_str_mv 10.1109/SISY.2013.6662609
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6662609</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6662609</ieee_id><sourcerecordid>6662609</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-c479090c084f1c136b823687481adb5875f92540aee79417758656e6f0a236213</originalsourceid><addsrcrecordid>eNpFkM1OwzAQhM2fRCl9AMTFL5Cw638fUVsgUlEP7QFOlZs4YJS2URwO7dNjiQhOu5oZ7X4aQu4QckSwD6ti9Z4zQJ4rpZgCe0ZuUGhrgYPEczJCK2wGwpiLf4PLyz9Dv12TSYxfAIBao7FsRAo2o_X36XSksXV9cA3tfJOWwz5St69o_-lDR13bNqEc5P5AZ8V0-Up3vkpiQ8POffh4S65q10Q_GeaYrJ_m6-lLtlg-F9PHRRYs9FmZuMBCCUbUWCJXW8O4MloYdNVWGi1ry6QA5722ImFKo6TyqgaXcgz5mNz_ng3e-03bpefdcTM0wn8AvO9OlA</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>2D fuzzy spatial relations and their applications to DICOM medical images</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Jocic, M. ; Obradovic, D. ; Konjovic, Z. ; Pap, E.</creator><creatorcontrib>Jocic, M. ; Obradovic, D. ; Konjovic, Z. ; Pap, E.</creatorcontrib><description>In this paper we propose a model of fuzzy spatial relations, which can be used to describe imprecise spatial data on 2D images. This model defines relations very similar to those existing in natural language and reasoning, like "on the left side of the image", "in the center of the image", "right/left of", "above/below of", "(very) close to", "(very) far from", "at distance of", etc. Composition operators and, or, not and subtract are defined in order to combine these basic fuzzy spatial relations into more complex ones. In addition, formula for calculating membership value of imprecise region to fuzzy spatial relation is defined. Proposed model is verified through the example of practical application on DICOM medical images.</description><identifier>ISSN: 1949-047X</identifier><identifier>ISBN: 1479903035</identifier><identifier>ISBN: 9781479903030</identifier><identifier>EISSN: 1949-0488</identifier><identifier>EISBN: 1479903051</identifier><identifier>EISBN: 9781479903054</identifier><identifier>DOI: 10.1109/SISY.2013.6662609</identifier><language>eng</language><publisher>IEEE</publisher><subject>Data models ; DICOM ; Digital images ; Informatics ; Intelligent systems ; Spatial databases</subject><ispartof>2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY), 2013, p.39-44</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/6662609$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6662609$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Jocic, M.</creatorcontrib><creatorcontrib>Obradovic, D.</creatorcontrib><creatorcontrib>Konjovic, Z.</creatorcontrib><creatorcontrib>Pap, E.</creatorcontrib><title>2D fuzzy spatial relations and their applications to DICOM medical images</title><title>2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY)</title><addtitle>SISY</addtitle><description>In this paper we propose a model of fuzzy spatial relations, which can be used to describe imprecise spatial data on 2D images. This model defines relations very similar to those existing in natural language and reasoning, like "on the left side of the image", "in the center of the image", "right/left of", "above/below of", "(very) close to", "(very) far from", "at distance of", etc. Composition operators and, or, not and subtract are defined in order to combine these basic fuzzy spatial relations into more complex ones. In addition, formula for calculating membership value of imprecise region to fuzzy spatial relation is defined. Proposed model is verified through the example of practical application on DICOM medical images.</description><subject>Data models</subject><subject>DICOM</subject><subject>Digital images</subject><subject>Informatics</subject><subject>Intelligent systems</subject><subject>Spatial databases</subject><issn>1949-047X</issn><issn>1949-0488</issn><isbn>1479903035</isbn><isbn>9781479903030</isbn><isbn>1479903051</isbn><isbn>9781479903054</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkM1OwzAQhM2fRCl9AMTFL5Cw638fUVsgUlEP7QFOlZs4YJS2URwO7dNjiQhOu5oZ7X4aQu4QckSwD6ti9Z4zQJ4rpZgCe0ZuUGhrgYPEczJCK2wGwpiLf4PLyz9Dv12TSYxfAIBao7FsRAo2o_X36XSksXV9cA3tfJOWwz5St69o_-lDR13bNqEc5P5AZ8V0-Up3vkpiQ8POffh4S65q10Q_GeaYrJ_m6-lLtlg-F9PHRRYs9FmZuMBCCUbUWCJXW8O4MloYdNVWGi1ry6QA5722ImFKo6TyqgaXcgz5mNz_ng3e-03bpefdcTM0wn8AvO9OlA</recordid><startdate>201309</startdate><enddate>201309</enddate><creator>Jocic, M.</creator><creator>Obradovic, D.</creator><creator>Konjovic, Z.</creator><creator>Pap, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201309</creationdate><title>2D fuzzy spatial relations and their applications to DICOM medical images</title><author>Jocic, M. ; Obradovic, D. ; Konjovic, Z. ; Pap, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-c479090c084f1c136b823687481adb5875f92540aee79417758656e6f0a236213</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Data models</topic><topic>DICOM</topic><topic>Digital images</topic><topic>Informatics</topic><topic>Intelligent systems</topic><topic>Spatial databases</topic><toplevel>online_resources</toplevel><creatorcontrib>Jocic, M.</creatorcontrib><creatorcontrib>Obradovic, D.</creatorcontrib><creatorcontrib>Konjovic, Z.</creatorcontrib><creatorcontrib>Pap, E.</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>Jocic, M.</au><au>Obradovic, D.</au><au>Konjovic, Z.</au><au>Pap, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>2D fuzzy spatial relations and their applications to DICOM medical images</atitle><btitle>2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY)</btitle><stitle>SISY</stitle><date>2013-09</date><risdate>2013</risdate><spage>39</spage><epage>44</epage><pages>39-44</pages><issn>1949-047X</issn><eissn>1949-0488</eissn><isbn>1479903035</isbn><isbn>9781479903030</isbn><eisbn>1479903051</eisbn><eisbn>9781479903054</eisbn><abstract>In this paper we propose a model of fuzzy spatial relations, which can be used to describe imprecise spatial data on 2D images. This model defines relations very similar to those existing in natural language and reasoning, like "on the left side of the image", "in the center of the image", "right/left of", "above/below of", "(very) close to", "(very) far from", "at distance of", etc. Composition operators and, or, not and subtract are defined in order to combine these basic fuzzy spatial relations into more complex ones. In addition, formula for calculating membership value of imprecise region to fuzzy spatial relation is defined. Proposed model is verified through the example of practical application on DICOM medical images.</abstract><pub>IEEE</pub><doi>10.1109/SISY.2013.6662609</doi><tpages>6</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1949-047X
ispartof 2013 IEEE 11th International Symposium on Intelligent Systems and Informatics (SISY), 2013, p.39-44
issn 1949-047X
1949-0488
language eng
recordid cdi_ieee_primary_6662609
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Data models
DICOM
Digital images
Informatics
Intelligent systems
Spatial databases
title 2D fuzzy spatial relations and their applications to DICOM medical images
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T08%3A49%3A35IST&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=2D%20fuzzy%20spatial%20relations%20and%20their%20applications%20to%20DICOM%20medical%20images&rft.btitle=2013%20IEEE%2011th%20International%20Symposium%20on%20Intelligent%20Systems%20and%20Informatics%20(SISY)&rft.au=Jocic,%20M.&rft.date=2013-09&rft.spage=39&rft.epage=44&rft.pages=39-44&rft.issn=1949-047X&rft.eissn=1949-0488&rft.isbn=1479903035&rft.isbn_list=9781479903030&rft_id=info:doi/10.1109/SISY.2013.6662609&rft_dat=%3Cieee_6IE%3E6662609%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1479903051&rft.eisbn_list=9781479903054&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6662609&rfr_iscdi=true