Fuzzy direction field method for fringe and tree-like patterns analysis
The problem of geometrical structure detection and measurements for fringe patterns and tree-like objects images is considered. We introduce the notion of a local-structure function that generalizes the concepts of direction and spatial frequency fields and describes local geometrical properties of...
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 | 782 Vol.2 |
|---|---|
| container_issue | |
| container_start_page | 779 |
| container_title | |
| container_volume | 2 |
| creator | Soifer, V.A. Khramov, A.G. Korepanov, A.O. |
| description | The problem of geometrical structure detection and measurements for fringe patterns and tree-like objects images is considered. We introduce the notion of a local-structure function that generalizes the concepts of direction and spatial frequency fields and describes local geometrical properties of the images under study. It can be considered as a fuzzy set of directions and spatial frequencies in every point of image. On basis of fuzzy sets operations we develop a number of general-purpose image analyzing algorithms that have parametrical tuning on image type. We have shown experimentally that this approach allows us to analyze efficiently various technical and medical diagnostic images of specified classes, such as interference patterns, objects registered in structural light, blood vessels images, and so on. |
| doi_str_mv | 10.1109/ICPR.2004.1334374 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_1334374</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1334374</ieee_id><sourcerecordid>1334374</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-423ea533e7f4f91caf87de2cb254cd1e0f053862390d9bca222709d2160302353</originalsourceid><addsrcrecordid>eNotkMtKAzEUQIMPsK1-gLjJD0y9j2Qys5Ria6GgiK5LOrnR6HRaMuOi_XoFuzpwFmdxlLpFmCJCfb-cvbxOCcBMkdmwM2dqRBVj4Yyz52oMrqwtIVV0oUYIFgtTWrxS477_AiBgW43UYv5zPB50SFmaIe06HZO0QW9l-NwFHXdZx5y6D9G-C3rIIkWbvkXv_TBI7vo_7dtDn_prdRl928vNiRP1Pn98mz0Vq-fFcvawKhI6OxSGWLxlFhdNrLHxsXJBqNmQNU1AgQiWq5K4hlBvGk9EDupAWAIDseWJuvvvJhFZ73Pa-nxYnwbwL7uXTNI</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Fuzzy direction field method for fringe and tree-like patterns analysis</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Soifer, V.A. ; Khramov, A.G. ; Korepanov, A.O.</creator><creatorcontrib>Soifer, V.A. ; Khramov, A.G. ; Korepanov, A.O.</creatorcontrib><description>The problem of geometrical structure detection and measurements for fringe patterns and tree-like objects images is considered. We introduce the notion of a local-structure function that generalizes the concepts of direction and spatial frequency fields and describes local geometrical properties of the images under study. It can be considered as a fuzzy set of directions and spatial frequencies in every point of image. On basis of fuzzy sets operations we develop a number of general-purpose image analyzing algorithms that have parametrical tuning on image type. We have shown experimentally that this approach allows us to analyze efficiently various technical and medical diagnostic images of specified classes, such as interference patterns, objects registered in structural light, blood vessels images, and so on.</description><identifier>ISSN: 1051-4651</identifier><identifier>ISBN: 0769521282</identifier><identifier>ISBN: 9780769521282</identifier><identifier>EISSN: 2831-7475</identifier><identifier>DOI: 10.1109/ICPR.2004.1334374</identifier><language>eng</language><publisher>IEEE</publisher><subject>Algorithm design and analysis ; Blood vessels ; Frequency ; Fuzzy sets ; Image analysis ; Interference ; Medical diagnosis ; Object detection ; Pattern analysis ; Tuning</subject><ispartof>Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004, 2004, Vol.2, p.779-782 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/1334374$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1334374$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Soifer, V.A.</creatorcontrib><creatorcontrib>Khramov, A.G.</creatorcontrib><creatorcontrib>Korepanov, A.O.</creatorcontrib><title>Fuzzy direction field method for fringe and tree-like patterns analysis</title><title>Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004</title><addtitle>ICPR</addtitle><description>The problem of geometrical structure detection and measurements for fringe patterns and tree-like objects images is considered. We introduce the notion of a local-structure function that generalizes the concepts of direction and spatial frequency fields and describes local geometrical properties of the images under study. It can be considered as a fuzzy set of directions and spatial frequencies in every point of image. On basis of fuzzy sets operations we develop a number of general-purpose image analyzing algorithms that have parametrical tuning on image type. We have shown experimentally that this approach allows us to analyze efficiently various technical and medical diagnostic images of specified classes, such as interference patterns, objects registered in structural light, blood vessels images, and so on.</description><subject>Algorithm design and analysis</subject><subject>Blood vessels</subject><subject>Frequency</subject><subject>Fuzzy sets</subject><subject>Image analysis</subject><subject>Interference</subject><subject>Medical diagnosis</subject><subject>Object detection</subject><subject>Pattern analysis</subject><subject>Tuning</subject><issn>1051-4651</issn><issn>2831-7475</issn><isbn>0769521282</isbn><isbn>9780769521282</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotkMtKAzEUQIMPsK1-gLjJD0y9j2Qys5Ria6GgiK5LOrnR6HRaMuOi_XoFuzpwFmdxlLpFmCJCfb-cvbxOCcBMkdmwM2dqRBVj4Yyz52oMrqwtIVV0oUYIFgtTWrxS477_AiBgW43UYv5zPB50SFmaIe06HZO0QW9l-NwFHXdZx5y6D9G-C3rIIkWbvkXv_TBI7vo_7dtDn_prdRl928vNiRP1Pn98mz0Vq-fFcvawKhI6OxSGWLxlFhdNrLHxsXJBqNmQNU1AgQiWq5K4hlBvGk9EDupAWAIDseWJuvvvJhFZ73Pa-nxYnwbwL7uXTNI</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Soifer, V.A.</creator><creator>Khramov, A.G.</creator><creator>Korepanov, A.O.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>Fuzzy direction field method for fringe and tree-like patterns analysis</title><author>Soifer, V.A. ; Khramov, A.G. ; Korepanov, A.O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-423ea533e7f4f91caf87de2cb254cd1e0f053862390d9bca222709d2160302353</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Algorithm design and analysis</topic><topic>Blood vessels</topic><topic>Frequency</topic><topic>Fuzzy sets</topic><topic>Image analysis</topic><topic>Interference</topic><topic>Medical diagnosis</topic><topic>Object detection</topic><topic>Pattern analysis</topic><topic>Tuning</topic><toplevel>online_resources</toplevel><creatorcontrib>Soifer, V.A.</creatorcontrib><creatorcontrib>Khramov, A.G.</creatorcontrib><creatorcontrib>Korepanov, A.O.</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>Soifer, V.A.</au><au>Khramov, A.G.</au><au>Korepanov, A.O.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Fuzzy direction field method for fringe and tree-like patterns analysis</atitle><btitle>Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004</btitle><stitle>ICPR</stitle><date>2004</date><risdate>2004</risdate><volume>2</volume><spage>779</spage><epage>782 Vol.2</epage><pages>779-782 Vol.2</pages><issn>1051-4651</issn><eissn>2831-7475</eissn><isbn>0769521282</isbn><isbn>9780769521282</isbn><abstract>The problem of geometrical structure detection and measurements for fringe patterns and tree-like objects images is considered. We introduce the notion of a local-structure function that generalizes the concepts of direction and spatial frequency fields and describes local geometrical properties of the images under study. It can be considered as a fuzzy set of directions and spatial frequencies in every point of image. On basis of fuzzy sets operations we develop a number of general-purpose image analyzing algorithms that have parametrical tuning on image type. We have shown experimentally that this approach allows us to analyze efficiently various technical and medical diagnostic images of specified classes, such as interference patterns, objects registered in structural light, blood vessels images, and so on.</abstract><pub>IEEE</pub><doi>10.1109/ICPR.2004.1334374</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1051-4651 |
| ispartof | Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004, 2004, Vol.2, p.779-782 Vol.2 |
| issn | 1051-4651 2831-7475 |
| language | eng |
| recordid | cdi_ieee_primary_1334374 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis Blood vessels Frequency Fuzzy sets Image analysis Interference Medical diagnosis Object detection Pattern analysis Tuning |
| title | Fuzzy direction field method for fringe and tree-like patterns analysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T21%3A35%3A36IST&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=Fuzzy%20direction%20field%20method%20for%20fringe%20and%20tree-like%20patterns%20analysis&rft.btitle=Proceedings%20of%20the%2017th%20International%20Conference%20on%20Pattern%20Recognition,%202004.%20ICPR%202004&rft.au=Soifer,%20V.A.&rft.date=2004&rft.volume=2&rft.spage=779&rft.epage=782%20Vol.2&rft.pages=779-782%20Vol.2&rft.issn=1051-4651&rft.eissn=2831-7475&rft.isbn=0769521282&rft.isbn_list=9780769521282&rft_id=info:doi/10.1109/ICPR.2004.1334374&rft_dat=%3Cieee_6IE%3E1334374%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=1334374&rfr_iscdi=true |