Development of defect detection algorithm in cold rolling
In this paper, we propose the defect detection algorithm using the image processing in cold rolling. This algorithm consists of two separated parts: defect detection of the steel sheet in a rolling process and defect detection of the cutting plane in a side trimming process. The objective of the cra...
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| creator | Sung Wook Yun NamWoong Kong Gyumin Lee PooGyeon Park |
| description | In this paper, we propose the defect detection algorithm using the image processing in cold rolling. This algorithm consists of two separated parts: defect detection of the steel sheet in a rolling process and defect detection of the cutting plane in a side trimming process. The objective of the crack and hole detection is to find the position and diameter of holes and some information of cracks such as the depth, width, position, and type. Furthermore, the objective of the defect detection for the cutting plane is to find the position of defects on the cutting plane, the number of those, and the thickness ratio between the cutting plane and the cold rolled steel sheets. Experimental results show that the proposed algorithm finds the defect information of cold rolled steel sheets satisfying the processing-speed constraint of 30 frames/sec. |
| doi_str_mv | 10.1109/ICCAS.2008.4694507 |
| format | Conference Proceeding |
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This algorithm consists of two separated parts: defect detection of the steel sheet in a rolling process and defect detection of the cutting plane in a side trimming process. The objective of the crack and hole detection is to find the position and diameter of holes and some information of cracks such as the depth, width, position, and type. Furthermore, the objective of the defect detection for the cutting plane is to find the position of defects on the cutting plane, the number of those, and the thickness ratio between the cutting plane and the cold rolled steel sheets. Experimental results show that the proposed algorithm finds the defect information of cold rolled steel sheets satisfying the processing-speed constraint of 30 frames/sec.</description><identifier>ISBN: 8995003898</identifier><identifier>ISBN: 9788995003893</identifier><identifier>EISBN: 8993215014</identifier><identifier>EISBN: 9788993215014</identifier><identifier>DOI: 10.1109/ICCAS.2008.4694507</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automatic control ; Automation ; cold rolled steel sheets ; Control systems ; crack ; cutting ratio ; defect detection ; Detection algorithms ; hole ; Image processing ; Manufacturing industries ; Production ; Productivity ; Reflection ; Steel</subject><ispartof>2008 International Conference on Control, Automation and Systems, 2008, p.1729-1733</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/4694507$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4694507$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Sung Wook Yun</creatorcontrib><creatorcontrib>NamWoong Kong</creatorcontrib><creatorcontrib>Gyumin Lee</creatorcontrib><creatorcontrib>PooGyeon Park</creatorcontrib><title>Development of defect detection algorithm in cold rolling</title><title>2008 International Conference on Control, Automation and Systems</title><addtitle>ICCAS</addtitle><description>In this paper, we propose the defect detection algorithm using the image processing in cold rolling. This algorithm consists of two separated parts: defect detection of the steel sheet in a rolling process and defect detection of the cutting plane in a side trimming process. The objective of the crack and hole detection is to find the position and diameter of holes and some information of cracks such as the depth, width, position, and type. Furthermore, the objective of the defect detection for the cutting plane is to find the position of defects on the cutting plane, the number of those, and the thickness ratio between the cutting plane and the cold rolled steel sheets. Experimental results show that the proposed algorithm finds the defect information of cold rolled steel sheets satisfying the processing-speed constraint of 30 frames/sec.</description><subject>Automatic control</subject><subject>Automation</subject><subject>cold rolled steel sheets</subject><subject>Control systems</subject><subject>crack</subject><subject>cutting ratio</subject><subject>defect detection</subject><subject>Detection algorithms</subject><subject>hole</subject><subject>Image processing</subject><subject>Manufacturing industries</subject><subject>Production</subject><subject>Productivity</subject><subject>Reflection</subject><subject>Steel</subject><isbn>8995003898</isbn><isbn>9788995003893</isbn><isbn>8993215014</isbn><isbn>9788993215014</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotz81OwzAQBGAjhAS0fQG4-AUS1rUde49V-KtUiUN7rxx7U4ycuEoiJN6eCHr6NJfRDGMPAkohAJ-2db3Zl2sAW6oKlQZzxe4tolwLDUJd_wUNIC3aW7Yaxy8AEFgZIao7hs_0TSmfO-onnlseqCU_zUwzMffcpVMe4vTZ8dhzn1PgQ04p9qclu2ldGml1ccEOry-H-r3Yfbxt682uiAhToRtlvbZGVU0jSWHQjfHzNrRGO9OAVyE470EEj94JskZaTcGSUsGLCuWCPf7XRiI6nofYueHneHkqfwH3aEfS</recordid><startdate>200810</startdate><enddate>200810</enddate><creator>Sung Wook Yun</creator><creator>NamWoong Kong</creator><creator>Gyumin Lee</creator><creator>PooGyeon Park</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200810</creationdate><title>Development of defect detection algorithm in cold rolling</title><author>Sung Wook Yun ; NamWoong Kong ; Gyumin Lee ; PooGyeon Park</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-5b48c58746bb3e49d5b7c9329875a7b0c4ddacc01dc9ca1e87385ed8e44dc1693</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Automatic control</topic><topic>Automation</topic><topic>cold rolled steel sheets</topic><topic>Control systems</topic><topic>crack</topic><topic>cutting ratio</topic><topic>defect detection</topic><topic>Detection algorithms</topic><topic>hole</topic><topic>Image processing</topic><topic>Manufacturing industries</topic><topic>Production</topic><topic>Productivity</topic><topic>Reflection</topic><topic>Steel</topic><toplevel>online_resources</toplevel><creatorcontrib>Sung Wook Yun</creatorcontrib><creatorcontrib>NamWoong Kong</creatorcontrib><creatorcontrib>Gyumin Lee</creatorcontrib><creatorcontrib>PooGyeon Park</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>Sung Wook Yun</au><au>NamWoong Kong</au><au>Gyumin Lee</au><au>PooGyeon Park</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Development of defect detection algorithm in cold rolling</atitle><btitle>2008 International Conference on Control, Automation and Systems</btitle><stitle>ICCAS</stitle><date>2008-10</date><risdate>2008</risdate><spage>1729</spage><epage>1733</epage><pages>1729-1733</pages><isbn>8995003898</isbn><isbn>9788995003893</isbn><eisbn>8993215014</eisbn><eisbn>9788993215014</eisbn><abstract>In this paper, we propose the defect detection algorithm using the image processing in cold rolling. This algorithm consists of two separated parts: defect detection of the steel sheet in a rolling process and defect detection of the cutting plane in a side trimming process. The objective of the crack and hole detection is to find the position and diameter of holes and some information of cracks such as the depth, width, position, and type. Furthermore, the objective of the defect detection for the cutting plane is to find the position of defects on the cutting plane, the number of those, and the thickness ratio between the cutting plane and the cold rolled steel sheets. Experimental results show that the proposed algorithm finds the defect information of cold rolled steel sheets satisfying the processing-speed constraint of 30 frames/sec.</abstract><pub>IEEE</pub><doi>10.1109/ICCAS.2008.4694507</doi><tpages>5</tpages></addata></record> |
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| ispartof | 2008 International Conference on Control, Automation and Systems, 2008, p.1729-1733 |
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| language | eng |
| recordid | cdi_ieee_primary_4694507 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Automatic control Automation cold rolled steel sheets Control systems crack cutting ratio defect detection Detection algorithms hole Image processing Manufacturing industries Production Productivity Reflection Steel |
| title | Development of defect detection algorithm in cold rolling |
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