Implementation of the Machine Vision System of Inspecting Nozzle
In this paper, we implemented machine vision system of inspecting nozzle to be used a part of SMD equipment. To inspect nozzle, the grey image is converted to binary image using bimodal technique. Its system first remove noise using morphological operation such as opening and closing, and then extra...
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 | 116 |
|---|---|
| container_issue | |
| container_start_page | 111 |
| container_title | |
| container_volume | 1 |
| creator | Wonho Lee Chunkee Jeon Chijung Hwang |
| description | In this paper, we implemented machine vision system of inspecting nozzle to be used a part of SMD equipment. To inspect nozzle, the grey image is converted to binary image using bimodal technique. Its system first remove noise using morphological operation such as opening and closing, and then extract feature using template matching technique to identify type of nozzle. Finally, its system extract another feature to calculate the size of region of interest using projection technique. A projection is the sum of the run-lengths of 1s along a straight line oriented at angle, which is useful in shape analysis as well as image segmentation. We implemented its system and obtained satisfied results. |
| doi_str_mv | 10.1109/ICCIT.2008.295 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4682010</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4682010</ieee_id><sourcerecordid>4682010</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-5d3137915f2578e8e3eae079a6e58019e20e744af5841353ad7b192047b8fd7f3</originalsourceid><addsrcrecordid>eNotjktLAzEURgNS0NZu3biZPzDjzWtuslMGtQNVF1a3Je3c2Mi8aLJpf70OujpwDnx8jN1wKDgHe1dXVb0pBIAphNUXbA5YWi0VoJqx-eStMEraS7aM8RsAuC2RI79i93U3ttRRn1wKQ58NPksHyl7c_hB6yj5DnOz7KSbqplj3caR9Cv1X9jqczy1ds5l3baTlPxfs4-lxU63y9dtzXT2s88BRp1w3kku0XHuh0ZAhSY4ArStJm987JIBQKee1UVxq6RrccStA4c74Br1csNu_3UBE2_EYOnc8bVVpBHCQP0tOSGo</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Implementation of the Machine Vision System of Inspecting Nozzle</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Wonho Lee ; Chunkee Jeon ; Chijung Hwang</creator><creatorcontrib>Wonho Lee ; Chunkee Jeon ; Chijung Hwang</creatorcontrib><description>In this paper, we implemented machine vision system of inspecting nozzle to be used a part of SMD equipment. To inspect nozzle, the grey image is converted to binary image using bimodal technique. Its system first remove noise using morphological operation such as opening and closing, and then extract feature using template matching technique to identify type of nozzle. Finally, its system extract another feature to calculate the size of region of interest using projection technique. A projection is the sum of the run-lengths of 1s along a straight line oriented at angle, which is useful in shape analysis as well as image segmentation. We implemented its system and obtained satisfied results.</description><identifier>ISBN: 0769534074</identifier><identifier>ISBN: 9780769534077</identifier><identifier>DOI: 10.1109/ICCIT.2008.295</identifier><identifier>LCCN: 2008928439</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer vision ; Feature extraction ; Image analysis ; Image converters ; Image processing ; Image segmentation ; inspecting ; Inspection ; Machine vision ; Morphological operations ; Shape</subject><ispartof>2008 Third International Conference on Convergence and Hybrid Information Technology, 2008, Vol.1, p.111-116</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/4682010$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4682010$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wonho Lee</creatorcontrib><creatorcontrib>Chunkee Jeon</creatorcontrib><creatorcontrib>Chijung Hwang</creatorcontrib><title>Implementation of the Machine Vision System of Inspecting Nozzle</title><title>2008 Third International Conference on Convergence and Hybrid Information Technology</title><addtitle>ICCIT</addtitle><description>In this paper, we implemented machine vision system of inspecting nozzle to be used a part of SMD equipment. To inspect nozzle, the grey image is converted to binary image using bimodal technique. Its system first remove noise using morphological operation such as opening and closing, and then extract feature using template matching technique to identify type of nozzle. Finally, its system extract another feature to calculate the size of region of interest using projection technique. A projection is the sum of the run-lengths of 1s along a straight line oriented at angle, which is useful in shape analysis as well as image segmentation. We implemented its system and obtained satisfied results.</description><subject>Computer vision</subject><subject>Feature extraction</subject><subject>Image analysis</subject><subject>Image converters</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>inspecting</subject><subject>Inspection</subject><subject>Machine vision</subject><subject>Morphological operations</subject><subject>Shape</subject><isbn>0769534074</isbn><isbn>9780769534077</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjktLAzEURgNS0NZu3biZPzDjzWtuslMGtQNVF1a3Je3c2Mi8aLJpf70OujpwDnx8jN1wKDgHe1dXVb0pBIAphNUXbA5YWi0VoJqx-eStMEraS7aM8RsAuC2RI79i93U3ttRRn1wKQ58NPksHyl7c_hB6yj5DnOz7KSbqplj3caR9Cv1X9jqczy1ds5l3baTlPxfs4-lxU63y9dtzXT2s88BRp1w3kku0XHuh0ZAhSY4ArStJm987JIBQKee1UVxq6RrccStA4c74Br1csNu_3UBE2_EYOnc8bVVpBHCQP0tOSGo</recordid><startdate>200811</startdate><enddate>200811</enddate><creator>Wonho Lee</creator><creator>Chunkee Jeon</creator><creator>Chijung Hwang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200811</creationdate><title>Implementation of the Machine Vision System of Inspecting Nozzle</title><author>Wonho Lee ; Chunkee Jeon ; Chijung Hwang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-5d3137915f2578e8e3eae079a6e58019e20e744af5841353ad7b192047b8fd7f3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Computer vision</topic><topic>Feature extraction</topic><topic>Image analysis</topic><topic>Image converters</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>inspecting</topic><topic>Inspection</topic><topic>Machine vision</topic><topic>Morphological operations</topic><topic>Shape</topic><toplevel>online_resources</toplevel><creatorcontrib>Wonho Lee</creatorcontrib><creatorcontrib>Chunkee Jeon</creatorcontrib><creatorcontrib>Chijung Hwang</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>Wonho Lee</au><au>Chunkee Jeon</au><au>Chijung Hwang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Implementation of the Machine Vision System of Inspecting Nozzle</atitle><btitle>2008 Third International Conference on Convergence and Hybrid Information Technology</btitle><stitle>ICCIT</stitle><date>2008-11</date><risdate>2008</risdate><volume>1</volume><spage>111</spage><epage>116</epage><pages>111-116</pages><isbn>0769534074</isbn><isbn>9780769534077</isbn><abstract>In this paper, we implemented machine vision system of inspecting nozzle to be used a part of SMD equipment. To inspect nozzle, the grey image is converted to binary image using bimodal technique. Its system first remove noise using morphological operation such as opening and closing, and then extract feature using template matching technique to identify type of nozzle. Finally, its system extract another feature to calculate the size of region of interest using projection technique. A projection is the sum of the run-lengths of 1s along a straight line oriented at angle, which is useful in shape analysis as well as image segmentation. We implemented its system and obtained satisfied results.</abstract><pub>IEEE</pub><doi>10.1109/ICCIT.2008.295</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 0769534074 |
| ispartof | 2008 Third International Conference on Convergence and Hybrid Information Technology, 2008, Vol.1, p.111-116 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_4682010 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computer vision Feature extraction Image analysis Image converters Image processing Image segmentation inspecting Inspection Machine vision Morphological operations Shape |
| title | Implementation of the Machine Vision System of Inspecting Nozzle |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T15%3A22%3A55IST&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=Implementation%20of%20the%20Machine%20Vision%20System%20of%20Inspecting%20Nozzle&rft.btitle=2008%20Third%20International%20Conference%20on%20Convergence%20and%20Hybrid%20Information%20Technology&rft.au=Wonho%20Lee&rft.date=2008-11&rft.volume=1&rft.spage=111&rft.epage=116&rft.pages=111-116&rft.isbn=0769534074&rft.isbn_list=9780769534077&rft_id=info:doi/10.1109/ICCIT.2008.295&rft_dat=%3Cieee_6IE%3E4682010%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=4682010&rfr_iscdi=true |