An Automated System for Contact Lens Inspection
This paper describes a novel method for the industrial inspection of ophthalmic contact lenses in a time constrained production line environment. We discuss the background to this problem, look at previous solutions and relevant allied work before describing our system. An overview of the system is...
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creator | Bazin, A. I. Cole, T. Kett, B. Nixon, M. S. |
description | This paper describes a novel method for the industrial inspection of ophthalmic contact lenses in a time constrained production line environment. We discuss the background to this problem, look at previous solutions and relevant allied work before describing our system. An overview of the system is given together with detailed descriptions of the algorithms used to perform the image processing, classification and inspection system. We conclude with a preliminary assessment of the system performance and discuss future work needed to complete the system. |
doi_str_mv | 10.1007/11919476_15 |
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An overview of the system is given together with detailed descriptions of the algorithms used to perform the image processing, classification and inspection system. We conclude with a preliminary assessment of the system performance and discuss future work needed to complete the system.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 3540486283</identifier><identifier>ISBN: 9783540486282</identifier><identifier>ISBN: 3540486287</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 3540486313</identifier><identifier>EISBN: 9783540486312</identifier><identifier>DOI: 10.1007/11919476_15</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Edge Fault ; Edge Feature ; Exact sciences and technology ; Image Processor ; Inspection System ; Manufacturing Line ; Pattern recognition. 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I.</creatorcontrib><creatorcontrib>Cole, T.</creatorcontrib><creatorcontrib>Kett, B.</creatorcontrib><creatorcontrib>Nixon, M. S.</creatorcontrib><title>An Automated System for Contact Lens Inspection</title><title>Advances in Visual Computing</title><description>This paper describes a novel method for the industrial inspection of ophthalmic contact lenses in a time constrained production line environment. We discuss the background to this problem, look at previous solutions and relevant allied work before describing our system. An overview of the system is given together with detailed descriptions of the algorithms used to perform the image processing, classification and inspection system. We conclude with a preliminary assessment of the system performance and discuss future work needed to complete the system.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer science; control theory; systems</subject><subject>Edge Fault</subject><subject>Edge Feature</subject><subject>Exact sciences and technology</subject><subject>Image Processor</subject><subject>Inspection System</subject><subject>Manufacturing Line</subject><subject>Pattern recognition. Digital image processing. 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S.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><scope>IQODW</scope></search><sort><creationdate>2006</creationdate><title>An Automated System for Contact Lens Inspection</title><author>Bazin, A. I. ; Cole, T. ; Kett, B. ; Nixon, M. S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c261t-38d250ab3f383c4f314442fdc4f3c1c125592a1291c7b5b1ab2894296481d5583</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Computer science; control theory; systems</topic><topic>Edge Fault</topic><topic>Edge Feature</topic><topic>Exact sciences and technology</topic><topic>Image Processor</topic><topic>Inspection System</topic><topic>Manufacturing Line</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bazin, A. I.</creatorcontrib><creatorcontrib>Cole, T.</creatorcontrib><creatorcontrib>Kett, B.</creatorcontrib><creatorcontrib>Nixon, M. S.</creatorcontrib><collection>Pascal-Francis</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bazin, A. I.</au><au>Cole, T.</au><au>Kett, B.</au><au>Nixon, M. S.</au><au>Zara, Jiri</au><au>Remagnino, Paolo</au><au>Bebis, George</au><au>Koracin, Darko</au><au>Boyle, Richard</au><au>Theisel, Holger</au><au>Nefian, Ara</au><au>Meenakshisundaram, Gopi</au><au>Malzbender, Tom</au><au>Parvin, Bahram</au><au>Pascucci, Valerio</au><au>Molineros, Jose</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An Automated System for Contact Lens Inspection</atitle><btitle>Advances in Visual Computing</btitle><date>2006</date><risdate>2006</risdate><spage>141</spage><epage>150</epage><pages>141-150</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>3540486283</isbn><isbn>9783540486282</isbn><isbn>3540486287</isbn><eisbn>3540486313</eisbn><eisbn>9783540486312</eisbn><abstract>This paper describes a novel method for the industrial inspection of ophthalmic contact lenses in a time constrained production line environment. We discuss the background to this problem, look at previous solutions and relevant allied work before describing our system. An overview of the system is given together with detailed descriptions of the algorithms used to perform the image processing, classification and inspection system. We conclude with a preliminary assessment of the system performance and discuss future work needed to complete the system.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/11919476_15</doi><tpages>10</tpages></addata></record> |
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language | eng |
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source | Springer Books |
subjects | Applied sciences Artificial intelligence Computer science control theory systems Edge Fault Edge Feature Exact sciences and technology Image Processor Inspection System Manufacturing Line Pattern recognition. Digital image processing. Computational geometry |
title | An Automated System for Contact Lens Inspection |
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