Visual inspection of machined parts
A CAD-model-based machine vision system for dimensional inspection of machine parts is described, with emphasis on the theory behind the system. The original contributions of this work are: (1) the use of precise definitions of geometric tolerances suitable for use in image processing, (2) the devel...
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 | 398 |
---|---|
container_issue | |
container_start_page | 393 |
container_title | |
container_volume | |
creator | Modayur, B.R. Shapiro, L.G. Haralick, R.M. |
description | A CAD-model-based machine vision system for dimensional inspection of machine parts is described, with emphasis on the theory behind the system. The original contributions of this work are: (1) the use of precise definitions of geometric tolerances suitable for use in image processing, (2) the development of measurement algorithms corresponding directly to these definitions, (3) the derivation of the uncertainties in the measurement tasks, and (4) the use of this uncertainty information in the decision-making process. Initial experimental results have verified the uncertainty derivations statistically and proved that the error probabilities obtained by propagating uncertainties are lower than those obtainable without uncertainty propagation.< > |
doi_str_mv | 10.1109/CVPR.1992.223159 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_223159</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>223159</ieee_id><sourcerecordid>223159</sourcerecordid><originalsourceid>FETCH-LOGICAL-i89t-194c252671442be0cb4f68c968b9550a9b93b9310fe64a141d613d8516d14eec3</originalsourceid><addsrcrecordid>eNotj0tLw0AURi-oYKnZi6uA68S58-q9Swm-oKBI6bZMJjc40qYhExf-ewv148DZHfgAblHViIofmu3HZ43MutbaoOMLKHhFipC8Juf4EhaovKk8I19DkfO3Os05Qo0LuN-m_BP2ZRryKHFOx6E89uUhxK80SFeOYZrzDVz1YZ-l-PcSNs9Pm-a1Wr-_vDWP6yoRzxWyjdppv0JrdSsqtrb3FNlTy86pwC2bE6h68Tagxc6j6cih79CKRLOEu3M2ichunNIhTL-78ynzB3dqPiQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Visual inspection of machined parts</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Modayur, B.R. ; Shapiro, L.G. ; Haralick, R.M.</creator><creatorcontrib>Modayur, B.R. ; Shapiro, L.G. ; Haralick, R.M.</creatorcontrib><description>A CAD-model-based machine vision system for dimensional inspection of machine parts is described, with emphasis on the theory behind the system. The original contributions of this work are: (1) the use of precise definitions of geometric tolerances suitable for use in image processing, (2) the development of measurement algorithms corresponding directly to these definitions, (3) the derivation of the uncertainties in the measurement tasks, and (4) the use of this uncertainty information in the decision-making process. Initial experimental results have verified the uncertainty derivations statistically and proved that the error probabilities obtained by propagating uncertainties are lower than those obtainable without uncertainty propagation.< ></description><identifier>ISSN: 1063-6919</identifier><identifier>ISBN: 9780818628559</identifier><identifier>ISBN: 0818628553</identifier><identifier>DOI: 10.1109/CVPR.1992.223159</identifier><language>eng</language><publisher>IEEE Comput. Soc. Press</publisher><subject>Computer science ; Decision making ; Error probability ; Feature extraction ; Image processing ; Inspection ; Machine vision ; Measurement uncertainty ; Solid modeling ; Testing</subject><ispartof>Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992, p.393-398</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/223159$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,781,785,790,791,2059,4051,4052,27930,54925</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/223159$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Modayur, B.R.</creatorcontrib><creatorcontrib>Shapiro, L.G.</creatorcontrib><creatorcontrib>Haralick, R.M.</creatorcontrib><title>Visual inspection of machined parts</title><title>Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</title><addtitle>CVPR</addtitle><description>A CAD-model-based machine vision system for dimensional inspection of machine parts is described, with emphasis on the theory behind the system. The original contributions of this work are: (1) the use of precise definitions of geometric tolerances suitable for use in image processing, (2) the development of measurement algorithms corresponding directly to these definitions, (3) the derivation of the uncertainties in the measurement tasks, and (4) the use of this uncertainty information in the decision-making process. Initial experimental results have verified the uncertainty derivations statistically and proved that the error probabilities obtained by propagating uncertainties are lower than those obtainable without uncertainty propagation.< ></description><subject>Computer science</subject><subject>Decision making</subject><subject>Error probability</subject><subject>Feature extraction</subject><subject>Image processing</subject><subject>Inspection</subject><subject>Machine vision</subject><subject>Measurement uncertainty</subject><subject>Solid modeling</subject><subject>Testing</subject><issn>1063-6919</issn><isbn>9780818628559</isbn><isbn>0818628553</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1992</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj0tLw0AURi-oYKnZi6uA68S58-q9Swm-oKBI6bZMJjc40qYhExf-ewv148DZHfgAblHViIofmu3HZ43MutbaoOMLKHhFipC8Juf4EhaovKk8I19DkfO3Os05Qo0LuN-m_BP2ZRryKHFOx6E89uUhxK80SFeOYZrzDVz1YZ-l-PcSNs9Pm-a1Wr-_vDWP6yoRzxWyjdppv0JrdSsqtrb3FNlTy86pwC2bE6h68Tagxc6j6cih79CKRLOEu3M2ichunNIhTL-78ynzB3dqPiQ</recordid><startdate>1992</startdate><enddate>1992</enddate><creator>Modayur, B.R.</creator><creator>Shapiro, L.G.</creator><creator>Haralick, R.M.</creator><general>IEEE Comput. Soc. Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1992</creationdate><title>Visual inspection of machined parts</title><author>Modayur, B.R. ; Shapiro, L.G. ; Haralick, R.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i89t-194c252671442be0cb4f68c968b9550a9b93b9310fe64a141d613d8516d14eec3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Computer science</topic><topic>Decision making</topic><topic>Error probability</topic><topic>Feature extraction</topic><topic>Image processing</topic><topic>Inspection</topic><topic>Machine vision</topic><topic>Measurement uncertainty</topic><topic>Solid modeling</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Modayur, B.R.</creatorcontrib><creatorcontrib>Shapiro, L.G.</creatorcontrib><creatorcontrib>Haralick, R.M.</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>Modayur, B.R.</au><au>Shapiro, L.G.</au><au>Haralick, R.M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Visual inspection of machined parts</atitle><btitle>Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition</btitle><stitle>CVPR</stitle><date>1992</date><risdate>1992</risdate><spage>393</spage><epage>398</epage><pages>393-398</pages><issn>1063-6919</issn><isbn>9780818628559</isbn><isbn>0818628553</isbn><abstract>A CAD-model-based machine vision system for dimensional inspection of machine parts is described, with emphasis on the theory behind the system. The original contributions of this work are: (1) the use of precise definitions of geometric tolerances suitable for use in image processing, (2) the development of measurement algorithms corresponding directly to these definitions, (3) the derivation of the uncertainties in the measurement tasks, and (4) the use of this uncertainty information in the decision-making process. Initial experimental results have verified the uncertainty derivations statistically and proved that the error probabilities obtained by propagating uncertainties are lower than those obtainable without uncertainty propagation.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/CVPR.1992.223159</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1063-6919 |
ispartof | Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992, p.393-398 |
issn | 1063-6919 |
language | eng |
recordid | cdi_ieee_primary_223159 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Computer science Decision making Error probability Feature extraction Image processing Inspection Machine vision Measurement uncertainty Solid modeling Testing |
title | Visual inspection of machined parts |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-13T09%3A34%3A24IST&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=Visual%20inspection%20of%20machined%20parts&rft.btitle=Proceedings%201992%20IEEE%20Computer%20Society%20Conference%20on%20Computer%20Vision%20and%20Pattern%20Recognition&rft.au=Modayur,%20B.R.&rft.date=1992&rft.spage=393&rft.epage=398&rft.pages=393-398&rft.issn=1063-6919&rft.isbn=9780818628559&rft.isbn_list=0818628553&rft_id=info:doi/10.1109/CVPR.1992.223159&rft_dat=%3Cieee_6IE%3E223159%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=223159&rfr_iscdi=true |