Image distortion correction algorithm based on lattice array coordinate projection
In order to improve the accuracy of image detection and target recognition, this paper presents an image distortion correction algorithm based on quadrilateral fractal approach controlling points. This method uses standard lattice image to be the measuring target, determines the coordinate by combin...
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 | V2-26 |
|---|---|
| container_issue | |
| container_start_page | V2-22 |
| container_title | |
| container_volume | 2 |
| creator | Xiao Luo Qingsheng Luo Baoling Han Xiaochuan Zhao |
| description | In order to improve the accuracy of image detection and target recognition, this paper presents an image distortion correction algorithm based on quadrilateral fractal approach controlling points. This method uses standard lattice image to be the measuring target, determines the coordinate by combining mathematical morphology and sliding neighborhood operation, and then Adopt simple linear regression analysis for optical center and establish coordinate system, finally proposes Two-step and one-dimensional gray linear interpolation backward mapping algorithm to define the pixel intensity. An image acquisition hardware system is designed contains TMS320DM6437 and taking a building as target. Experiments with above method have shown that this algorithm can correct distortion in short time without loss edge information. |
| doi_str_mv | 10.1109/ICACTE.2010.5579608 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5579608</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5579608</ieee_id><sourcerecordid>5579608</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-de832a8add4b9df2daebfc996d55241cf7a1195907fca3c142b7d5189186fbbf3</originalsourceid><addsrcrecordid>eNo9UMtqwzAQVF_QNM0X5KIfcCrJkmUdi0nbQKBQfA-rV6pgR0HWJX9f0aTdyywzuwMzCC0pWVFK1Mume-369YqRQgghVUPaG_REOeO8EZzJWzRjVPBKCiLu_oVayfs_gSv6iBbTdCBluGBCtjP0tRlh77ANU44ph3jEJqbkzO8Kwz6mkL9HrGFyFhdqgJyDcRhSgnO5jcmGI2SHTykeLm_P6MHDMLnFFeeof1v33Ue1_XwvKbZVUCRX1rU1gxas5VpZzyw47Y1SjRWCcWq8BEqVUER6A7UpebS0graKto3X2tdztLzYBufc7pTCCOm8u1ZT_wAjdVZW</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Image distortion correction algorithm based on lattice array coordinate projection</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Xiao Luo ; Qingsheng Luo ; Baoling Han ; Xiaochuan Zhao</creator><creatorcontrib>Xiao Luo ; Qingsheng Luo ; Baoling Han ; Xiaochuan Zhao</creatorcontrib><description>In order to improve the accuracy of image detection and target recognition, this paper presents an image distortion correction algorithm based on quadrilateral fractal approach controlling points. This method uses standard lattice image to be the measuring target, determines the coordinate by combining mathematical morphology and sliding neighborhood operation, and then Adopt simple linear regression analysis for optical center and establish coordinate system, finally proposes Two-step and one-dimensional gray linear interpolation backward mapping algorithm to define the pixel intensity. An image acquisition hardware system is designed contains TMS320DM6437 and taking a building as target. Experiments with above method have shown that this algorithm can correct distortion in short time without loss edge information.</description><identifier>ISSN: 2154-7491</identifier><identifier>ISBN: 1424465397</identifier><identifier>ISBN: 9781424465392</identifier><identifier>EISSN: 2154-7505</identifier><identifier>EISBN: 1424465427</identifier><identifier>EISBN: 9781424465415</identifier><identifier>EISBN: 9781424465422</identifier><identifier>EISBN: 1424465419</identifier><identifier>DOI: 10.1109/ICACTE.2010.5579608</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptive optics ; correction ; image distortion ; machine vision ; Optical control ; Optical distortion ; Optical imaging</subject><ispartof>2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), 2010, Vol.2, p.V2-22-V2-26</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/5579608$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5579608$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xiao Luo</creatorcontrib><creatorcontrib>Qingsheng Luo</creatorcontrib><creatorcontrib>Baoling Han</creatorcontrib><creatorcontrib>Xiaochuan Zhao</creatorcontrib><title>Image distortion correction algorithm based on lattice array coordinate projection</title><title>2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)</title><addtitle>ICACTE</addtitle><description>In order to improve the accuracy of image detection and target recognition, this paper presents an image distortion correction algorithm based on quadrilateral fractal approach controlling points. This method uses standard lattice image to be the measuring target, determines the coordinate by combining mathematical morphology and sliding neighborhood operation, and then Adopt simple linear regression analysis for optical center and establish coordinate system, finally proposes Two-step and one-dimensional gray linear interpolation backward mapping algorithm to define the pixel intensity. An image acquisition hardware system is designed contains TMS320DM6437 and taking a building as target. Experiments with above method have shown that this algorithm can correct distortion in short time without loss edge information.</description><subject>Adaptive optics</subject><subject>correction</subject><subject>image distortion</subject><subject>machine vision</subject><subject>Optical control</subject><subject>Optical distortion</subject><subject>Optical imaging</subject><issn>2154-7491</issn><issn>2154-7505</issn><isbn>1424465397</isbn><isbn>9781424465392</isbn><isbn>1424465427</isbn><isbn>9781424465415</isbn><isbn>9781424465422</isbn><isbn>1424465419</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9UMtqwzAQVF_QNM0X5KIfcCrJkmUdi0nbQKBQfA-rV6pgR0HWJX9f0aTdyywzuwMzCC0pWVFK1Mume-369YqRQgghVUPaG_REOeO8EZzJWzRjVPBKCiLu_oVayfs_gSv6iBbTdCBluGBCtjP0tRlh77ANU44ph3jEJqbkzO8Kwz6mkL9HrGFyFhdqgJyDcRhSgnO5jcmGI2SHTykeLm_P6MHDMLnFFeeof1v33Ue1_XwvKbZVUCRX1rU1gxas5VpZzyw47Y1SjRWCcWq8BEqVUER6A7UpebS0graKto3X2tdztLzYBufc7pTCCOm8u1ZT_wAjdVZW</recordid><startdate>201008</startdate><enddate>201008</enddate><creator>Xiao Luo</creator><creator>Qingsheng Luo</creator><creator>Baoling Han</creator><creator>Xiaochuan Zhao</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201008</creationdate><title>Image distortion correction algorithm based on lattice array coordinate projection</title><author>Xiao Luo ; Qingsheng Luo ; Baoling Han ; Xiaochuan Zhao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-de832a8add4b9df2daebfc996d55241cf7a1195907fca3c142b7d5189186fbbf3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptive optics</topic><topic>correction</topic><topic>image distortion</topic><topic>machine vision</topic><topic>Optical control</topic><topic>Optical distortion</topic><topic>Optical imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Xiao Luo</creatorcontrib><creatorcontrib>Qingsheng Luo</creatorcontrib><creatorcontrib>Baoling Han</creatorcontrib><creatorcontrib>Xiaochuan Zhao</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>Xiao Luo</au><au>Qingsheng Luo</au><au>Baoling Han</au><au>Xiaochuan Zhao</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Image distortion correction algorithm based on lattice array coordinate projection</atitle><btitle>2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)</btitle><stitle>ICACTE</stitle><date>2010-08</date><risdate>2010</risdate><volume>2</volume><spage>V2-22</spage><epage>V2-26</epage><pages>V2-22-V2-26</pages><issn>2154-7491</issn><eissn>2154-7505</eissn><isbn>1424465397</isbn><isbn>9781424465392</isbn><eisbn>1424465427</eisbn><eisbn>9781424465415</eisbn><eisbn>9781424465422</eisbn><eisbn>1424465419</eisbn><abstract>In order to improve the accuracy of image detection and target recognition, this paper presents an image distortion correction algorithm based on quadrilateral fractal approach controlling points. This method uses standard lattice image to be the measuring target, determines the coordinate by combining mathematical morphology and sliding neighborhood operation, and then Adopt simple linear regression analysis for optical center and establish coordinate system, finally proposes Two-step and one-dimensional gray linear interpolation backward mapping algorithm to define the pixel intensity. An image acquisition hardware system is designed contains TMS320DM6437 and taking a building as target. Experiments with above method have shown that this algorithm can correct distortion in short time without loss edge information.</abstract><pub>IEEE</pub><doi>10.1109/ICACTE.2010.5579608</doi></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2154-7491 |
| ispartof | 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), 2010, Vol.2, p.V2-22-V2-26 |
| issn | 2154-7491 2154-7505 |
| language | eng |
| recordid | cdi_ieee_primary_5579608 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adaptive optics correction image distortion machine vision Optical control Optical distortion Optical imaging |
| title | Image distortion correction algorithm based on lattice array coordinate projection |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T12%3A47%3A42IST&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%20distortion%20correction%20algorithm%20based%20on%20lattice%20array%20coordinate%20projection&rft.btitle=2010%203rd%20International%20Conference%20on%20Advanced%20Computer%20Theory%20and%20Engineering(ICACTE)&rft.au=Xiao%20Luo&rft.date=2010-08&rft.volume=2&rft.spage=V2-22&rft.epage=V2-26&rft.pages=V2-22-V2-26&rft.issn=2154-7491&rft.eissn=2154-7505&rft.isbn=1424465397&rft.isbn_list=9781424465392&rft_id=info:doi/10.1109/ICACTE.2010.5579608&rft_dat=%3Cieee_6IE%3E5579608%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1424465427&rft.eisbn_list=9781424465415&rft.eisbn_list=9781424465422&rft.eisbn_list=1424465419&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5579608&rfr_iscdi=true |