Object Localization with Subpixel Accuracy for Automated Microinjection
This paper presents techniques for object localization with subpixel accuracy in automated microinjection. The subpixel accuracy was achieved using pattern matching and curve fitting techniques for localization of reference patterns and Xenopus oocytes. The paper discusses the effect of noise on the...
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creator | Zuobin Wang Ming Yang Almansa, A. Ruoya Li |
description | This paper presents techniques for object localization with subpixel accuracy in automated microinjection. The subpixel accuracy was achieved using pattern matching and curve fitting techniques for localization of reference patterns and Xenopus oocytes. The paper discusses the effect of noise on the accuracy of object localization and analyses the relationship between the standard deviations. A statistical analysis shows that pattern matching and curve fitting lessen the effect of noise on the determination of object position. |
doi_str_mv | 10.1109/ICMA.2007.4303581 |
format | Conference Proceeding |
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The subpixel accuracy was achieved using pattern matching and curve fitting techniques for localization of reference patterns and Xenopus oocytes. The paper discusses the effect of noise on the accuracy of object localization and analyses the relationship between the standard deviations. A statistical analysis shows that pattern matching and curve fitting lessen the effect of noise on the determination of object position.</description><identifier>ISSN: 2152-7431</identifier><identifier>ISBN: 9781424408276</identifier><identifier>ISBN: 142440827X</identifier><identifier>EISSN: 2152-744X</identifier><identifier>EISBN: 9781424408283</identifier><identifier>EISBN: 1424408288</identifier><identifier>DOI: 10.1109/ICMA.2007.4303581</identifier><language>eng</language><publisher>IEEE</publisher><subject>Assembly ; Biology computing ; Cells (biology) ; Curve fitting ; Graphical user interfaces ; Manufacturing automation ; Microinjection ; Microscopy ; object localization ; Pattern matching ; Pulp manufacturing ; subpixel accuracy</subject><ispartof>2007 International Conference on Mechatronics and Automation, 2007, p.428-433</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/4303581$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4303581$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zuobin Wang</creatorcontrib><creatorcontrib>Ming Yang</creatorcontrib><creatorcontrib>Almansa, A.</creatorcontrib><creatorcontrib>Ruoya Li</creatorcontrib><title>Object Localization with Subpixel Accuracy for Automated Microinjection</title><title>2007 International Conference on Mechatronics and Automation</title><addtitle>ICMA</addtitle><description>This paper presents techniques for object localization with subpixel accuracy in automated microinjection. The subpixel accuracy was achieved using pattern matching and curve fitting techniques for localization of reference patterns and Xenopus oocytes. The paper discusses the effect of noise on the accuracy of object localization and analyses the relationship between the standard deviations. A statistical analysis shows that pattern matching and curve fitting lessen the effect of noise on the determination of object position.</description><subject>Assembly</subject><subject>Biology computing</subject><subject>Cells (biology)</subject><subject>Curve fitting</subject><subject>Graphical user interfaces</subject><subject>Manufacturing automation</subject><subject>Microinjection</subject><subject>Microscopy</subject><subject>object localization</subject><subject>Pattern matching</subject><subject>Pulp manufacturing</subject><subject>subpixel accuracy</subject><issn>2152-7431</issn><issn>2152-744X</issn><isbn>9781424408276</isbn><isbn>142440827X</isbn><isbn>9781424408283</isbn><isbn>1424408288</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkE1Lw0AYhNcvsNT8APGyfyBxP95kk2MIWgspPajgrby72cUtaVOSDVp_vRGL4FzmMDzDMITccpZwzor7ZbUqE8GYSkAymeb8jESFyjkIAJaLXJ6TmeCpiBXA28W_TGWXf5nk1yQahi2bJIs0g3xGFmu9tSbQujPY-i8MvtvTDx_e6fOoD_7TtrQ0ZuzRHKnrelqOodthsA1dedN3fv9DT8wNuXLYDjY6-Zy8Pj68VE9xvV4sq7KOPVdpiHOHDVqplePApglpI5ibxjSFAu2s0llmADhalSmmTYONKVIAQBSYSSvlnNz99npr7ebQ-x32x83pFvkNqb1SNw</recordid><startdate>200708</startdate><enddate>200708</enddate><creator>Zuobin Wang</creator><creator>Ming Yang</creator><creator>Almansa, A.</creator><creator>Ruoya Li</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200708</creationdate><title>Object Localization with Subpixel Accuracy for Automated Microinjection</title><author>Zuobin Wang ; Ming Yang ; Almansa, A. ; Ruoya Li</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-8fadae3b7f1409565d20f039d974bfe7b66c441ae7670bcdadc95444aa2a63e33</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Assembly</topic><topic>Biology computing</topic><topic>Cells (biology)</topic><topic>Curve fitting</topic><topic>Graphical user interfaces</topic><topic>Manufacturing automation</topic><topic>Microinjection</topic><topic>Microscopy</topic><topic>object localization</topic><topic>Pattern matching</topic><topic>Pulp manufacturing</topic><topic>subpixel accuracy</topic><toplevel>online_resources</toplevel><creatorcontrib>Zuobin Wang</creatorcontrib><creatorcontrib>Ming Yang</creatorcontrib><creatorcontrib>Almansa, A.</creatorcontrib><creatorcontrib>Ruoya Li</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>Zuobin Wang</au><au>Ming Yang</au><au>Almansa, A.</au><au>Ruoya Li</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Object Localization with Subpixel Accuracy for Automated Microinjection</atitle><btitle>2007 International Conference on Mechatronics and Automation</btitle><stitle>ICMA</stitle><date>2007-08</date><risdate>2007</risdate><spage>428</spage><epage>433</epage><pages>428-433</pages><issn>2152-7431</issn><eissn>2152-744X</eissn><isbn>9781424408276</isbn><isbn>142440827X</isbn><eisbn>9781424408283</eisbn><eisbn>1424408288</eisbn><abstract>This paper presents techniques for object localization with subpixel accuracy in automated microinjection. The subpixel accuracy was achieved using pattern matching and curve fitting techniques for localization of reference patterns and Xenopus oocytes. The paper discusses the effect of noise on the accuracy of object localization and analyses the relationship between the standard deviations. A statistical analysis shows that pattern matching and curve fitting lessen the effect of noise on the determination of object position.</abstract><pub>IEEE</pub><doi>10.1109/ICMA.2007.4303581</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Assembly Biology computing Cells (biology) Curve fitting Graphical user interfaces Manufacturing automation Microinjection Microscopy object localization Pattern matching Pulp manufacturing subpixel accuracy |
title | Object Localization with Subpixel Accuracy for Automated Microinjection |
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