Image registration by "Super-curves"
We solve the 2-D affine image registration problem by curve matching and alignment. Our approach starts with a super-curve, which is formed by superimposing two affine related curves in one coordinate system. We use B-spline fusion technique to find a single B-spline approximation of the super-curve...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on image processing 2004-05, Vol.13 (5), p.720-732 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 732 |
|---|---|
| container_issue | 5 |
| container_start_page | 720 |
| container_title | IEEE transactions on image processing |
| container_volume | 13 |
| creator | Xia, Minghui Liu, Bede |
| description | We solve the 2-D affine image registration problem by curve matching and alignment. Our approach starts with a super-curve, which is formed by superimposing two affine related curves in one coordinate system. We use B-spline fusion technique to find a single B-spline approximation of the super-curve and a registration between the two curves simultaneously. This approach achieves superior accuracy and efficiency in curve matching and alignment. We then address the occlusion problem by finding partial match between the curves segmented using inflections and cusps, which are affine invariant. The combination of edge detection and curve alignment lead to accurate image registration. |
| doi_str_mv | 10.1109/TIP.2003.822611 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_883561165</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>1288197</ieee_id><sourcerecordid>2426396571</sourcerecordid><originalsourceid>FETCH-LOGICAL-c433t-cffdc88b8aea39039cd02686ab4ea0a2192aa879ffa0f8076154c1bf45913b273</originalsourceid><addsrcrecordid>eNqF0U1LAzEQBuAgiq3VswdBSvHjtO1MsskmRxE_CgUF6zlk06Rsabs16Qr-e1NaqHjQ0wTmycDMS8g5Qh8R1GA8fO1TANaXlArEA9JGlWMGkNPD9AZeZAXmqkVOYpwBYM5RHJMWclYIAaxNroYLM3Xd4KZVXAezruplt_zq9t6alQuZbcKni71TcuTNPLqzXe2Q98eH8f1zNnp5Gt7fjTKbM7bOrPcTK2UpjTNMAVN2AlRIYcrcGTAUFTVGFsp7A15CIZDnFkufc4WspAXrkNvt3FWoPxoX13pRRevmc7N0dRO1AhQcKGdJ3vwphZCKgir-hVQymW6HCfZ-wVndhGVaV0vJeDqu4AkNtsiGOsbgvF6FamHCl0bQm0B0CkRvAtHbQNKPy93Yply4yd7vEkjgegdMtGbug1naKv5wQkmKkNzF1lXOuX2bSolpzW9f7Jg3</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>883561165</pqid></control><display><type>article</type><title>Image registration by "Super-curves"</title><source>IEEE Electronic Library (IEL)</source><creator>Xia, Minghui ; Liu, Bede</creator><creatorcontrib>Xia, Minghui ; Liu, Bede</creatorcontrib><description>We solve the 2-D affine image registration problem by curve matching and alignment. Our approach starts with a super-curve, which is formed by superimposing two affine related curves in one coordinate system. We use B-spline fusion technique to find a single B-spline approximation of the super-curve and a registration between the two curves simultaneously. This approach achieves superior accuracy and efficiency in curve matching and alignment. We then address the occlusion problem by finding partial match between the curves segmented using inflections and cusps, which are affine invariant. The combination of edge detection and curve alignment lead to accurate image registration.</description><identifier>ISSN: 1057-7149</identifier><identifier>EISSN: 1941-0042</identifier><identifier>DOI: 10.1109/TIP.2003.822611</identifier><identifier>PMID: 15376603</identifier><identifier>CODEN: IIPRE4</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Alignment ; Applied sciences ; Approximation ; Biomedical imaging ; Edge detection ; Exact sciences and technology ; Image edge detection ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Image processing ; Image registration ; Image segmentation ; Information Storage and Retrieval - methods ; Information, signal and communications theory ; Interpolation ; Invariants ; Matching ; Mathematical analysis ; Numerical Analysis, Computer-Assisted ; Occlusion ; Pattern recognition ; Pattern Recognition, Automated ; Pixel ; Reproducibility of Results ; Sensitivity and Specificity ; Shape ; Signal processing ; Signal Processing, Computer-Assisted ; Spline ; Subtraction Technique ; Synthetic aperture radar ; Telecommunications and information theory</subject><ispartof>IEEE transactions on image processing, 2004-05, Vol.13 (5), p.720-732</ispartof><rights>2004 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c433t-cffdc88b8aea39039cd02686ab4ea0a2192aa879ffa0f8076154c1bf45913b273</citedby><cites>FETCH-LOGICAL-c433t-cffdc88b8aea39039cd02686ab4ea0a2192aa879ffa0f8076154c1bf45913b273</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1288197$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1288197$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15698210$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15376603$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xia, Minghui</creatorcontrib><creatorcontrib>Liu, Bede</creatorcontrib><title>Image registration by "Super-curves"</title><title>IEEE transactions on image processing</title><addtitle>TIP</addtitle><addtitle>IEEE Trans Image Process</addtitle><description>We solve the 2-D affine image registration problem by curve matching and alignment. Our approach starts with a super-curve, which is formed by superimposing two affine related curves in one coordinate system. We use B-spline fusion technique to find a single B-spline approximation of the super-curve and a registration between the two curves simultaneously. This approach achieves superior accuracy and efficiency in curve matching and alignment. We then address the occlusion problem by finding partial match between the curves segmented using inflections and cusps, which are affine invariant. The combination of edge detection and curve alignment lead to accurate image registration.</description><subject>Algorithms</subject><subject>Alignment</subject><subject>Applied sciences</subject><subject>Approximation</subject><subject>Biomedical imaging</subject><subject>Edge detection</subject><subject>Exact sciences and technology</subject><subject>Image edge detection</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image processing</subject><subject>Image registration</subject><subject>Image segmentation</subject><subject>Information Storage and Retrieval - methods</subject><subject>Information, signal and communications theory</subject><subject>Interpolation</subject><subject>Invariants</subject><subject>Matching</subject><subject>Mathematical analysis</subject><subject>Numerical Analysis, Computer-Assisted</subject><subject>Occlusion</subject><subject>Pattern recognition</subject><subject>Pattern Recognition, Automated</subject><subject>Pixel</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Shape</subject><subject>Signal processing</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Spline</subject><subject>Subtraction Technique</subject><subject>Synthetic aperture radar</subject><subject>Telecommunications and information theory</subject><issn>1057-7149</issn><issn>1941-0042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqF0U1LAzEQBuAgiq3VswdBSvHjtO1MsskmRxE_CgUF6zlk06Rsabs16Qr-e1NaqHjQ0wTmycDMS8g5Qh8R1GA8fO1TANaXlArEA9JGlWMGkNPD9AZeZAXmqkVOYpwBYM5RHJMWclYIAaxNroYLM3Xd4KZVXAezruplt_zq9t6alQuZbcKni71TcuTNPLqzXe2Q98eH8f1zNnp5Gt7fjTKbM7bOrPcTK2UpjTNMAVN2AlRIYcrcGTAUFTVGFsp7A15CIZDnFkufc4WspAXrkNvt3FWoPxoX13pRRevmc7N0dRO1AhQcKGdJ3vwphZCKgir-hVQymW6HCfZ-wVndhGVaV0vJeDqu4AkNtsiGOsbgvF6FamHCl0bQm0B0CkRvAtHbQNKPy93Yply4yd7vEkjgegdMtGbug1naKv5wQkmKkNzF1lXOuX2bSolpzW9f7Jg3</recordid><startdate>20040501</startdate><enddate>20040501</enddate><creator>Xia, Minghui</creator><creator>Liu, Bede</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20040501</creationdate><title>Image registration by "Super-curves"</title><author>Xia, Minghui ; Liu, Bede</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c433t-cffdc88b8aea39039cd02686ab4ea0a2192aa879ffa0f8076154c1bf45913b273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Algorithms</topic><topic>Alignment</topic><topic>Applied sciences</topic><topic>Approximation</topic><topic>Biomedical imaging</topic><topic>Edge detection</topic><topic>Exact sciences and technology</topic><topic>Image edge detection</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Image processing</topic><topic>Image registration</topic><topic>Image segmentation</topic><topic>Information Storage and Retrieval - methods</topic><topic>Information, signal and communications theory</topic><topic>Interpolation</topic><topic>Invariants</topic><topic>Matching</topic><topic>Mathematical analysis</topic><topic>Numerical Analysis, Computer-Assisted</topic><topic>Occlusion</topic><topic>Pattern recognition</topic><topic>Pattern Recognition, Automated</topic><topic>Pixel</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Shape</topic><topic>Signal processing</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Spline</topic><topic>Subtraction Technique</topic><topic>Synthetic aperture radar</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xia, Minghui</creatorcontrib><creatorcontrib>Liu, Bede</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on image processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xia, Minghui</au><au>Liu, Bede</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Image registration by "Super-curves"</atitle><jtitle>IEEE transactions on image processing</jtitle><stitle>TIP</stitle><addtitle>IEEE Trans Image Process</addtitle><date>2004-05-01</date><risdate>2004</risdate><volume>13</volume><issue>5</issue><spage>720</spage><epage>732</epage><pages>720-732</pages><issn>1057-7149</issn><eissn>1941-0042</eissn><coden>IIPRE4</coden><abstract>We solve the 2-D affine image registration problem by curve matching and alignment. Our approach starts with a super-curve, which is formed by superimposing two affine related curves in one coordinate system. We use B-spline fusion technique to find a single B-spline approximation of the super-curve and a registration between the two curves simultaneously. This approach achieves superior accuracy and efficiency in curve matching and alignment. We then address the occlusion problem by finding partial match between the curves segmented using inflections and cusps, which are affine invariant. The combination of edge detection and curve alignment lead to accurate image registration.</abstract><cop>New York, NY</cop><pub>IEEE</pub><pmid>15376603</pmid><doi>10.1109/TIP.2003.822611</doi><tpages>13</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1057-7149 |
| ispartof | IEEE transactions on image processing, 2004-05, Vol.13 (5), p.720-732 |
| issn | 1057-7149 1941-0042 |
| language | eng |
| recordid | cdi_proquest_journals_883561165 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Alignment Applied sciences Approximation Biomedical imaging Edge detection Exact sciences and technology Image edge detection Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image registration Image segmentation Information Storage and Retrieval - methods Information, signal and communications theory Interpolation Invariants Matching Mathematical analysis Numerical Analysis, Computer-Assisted Occlusion Pattern recognition Pattern Recognition, Automated Pixel Reproducibility of Results Sensitivity and Specificity Shape Signal processing Signal Processing, Computer-Assisted Spline Subtraction Technique Synthetic aperture radar Telecommunications and information theory |
| title | Image registration by "Super-curves" |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T05%3A53%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Image%20registration%20by%20%22Super-curves%22&rft.jtitle=IEEE%20transactions%20on%20image%20processing&rft.au=Xia,%20Minghui&rft.date=2004-05-01&rft.volume=13&rft.issue=5&rft.spage=720&rft.epage=732&rft.pages=720-732&rft.issn=1057-7149&rft.eissn=1941-0042&rft.coden=IIPRE4&rft_id=info:doi/10.1109/TIP.2003.822611&rft_dat=%3Cproquest_RIE%3E2426396571%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=883561165&rft_id=info:pmid/15376603&rft_ieee_id=1288197&rfr_iscdi=true |