Use of image processing for the measurement of orientation with application to automated fish processing
The authors examine the concept of the orientation of a 2D object from three points of view; a direct axis of geometric shape, the principal axis defined in terms of the principal second movements of area, and the major axis of the fundamental ellipse fitting the boundary of the object. The three me...
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| creator | Gamage, L.B. de Silva, C.W. |
| description | The authors examine the concept of the orientation of a 2D object from three points of view; a direct axis of geometric shape, the principal axis defined in terms of the principal second movements of area, and the major axis of the fundamental ellipse fitting the boundary of the object. The three methods are implemented on a vision workstation and applied to samples of Pacific salmon. The results are compared with direct measurement orientation. The three methods of orientation measurement are evaluated quantitatively using these results, with respect to accuracy, speed of measurement and appropriateness under various practical conditions.< > |
| doi_str_mv | 10.1109/IECON.1990.149187 |
| format | Conference Proceeding |
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The three methods are implemented on a vision workstation and applied to samples of Pacific salmon. The results are compared with direct measurement orientation. The three methods of orientation measurement are evaluated quantitatively using these results, with respect to accuracy, speed of measurement and appropriateness under various practical conditions.< ></description><identifier>ISBN: 0879426004</identifier><identifier>ISBN: 9780879426002</identifier><identifier>DOI: 10.1109/IECON.1990.149187</identifier><language>eng</language><publisher>IEEE</publisher><subject>Automation ; Head ; Image processing ; Image segmentation ; Laboratories ; Marine animals ; Mechanical engineering ; Mechanical variables measurement ; Position measurement ; Workstations</subject><ispartof>[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society, 1990, p.482-487 vol.1</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/149187$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,4038,4039,27914,54909</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/149187$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gamage, L.B.</creatorcontrib><creatorcontrib>de Silva, C.W.</creatorcontrib><title>Use of image processing for the measurement of orientation with application to automated fish processing</title><title>[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society</title><addtitle>IECON</addtitle><description>The authors examine the concept of the orientation of a 2D object from three points of view; a direct axis of geometric shape, the principal axis defined in terms of the principal second movements of area, and the major axis of the fundamental ellipse fitting the boundary of the object. The three methods are implemented on a vision workstation and applied to samples of Pacific salmon. The results are compared with direct measurement orientation. The three methods of orientation measurement are evaluated quantitatively using these results, with respect to accuracy, speed of measurement and appropriateness under various practical conditions.< ></description><subject>Automation</subject><subject>Head</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Laboratories</subject><subject>Marine animals</subject><subject>Mechanical engineering</subject><subject>Mechanical variables measurement</subject><subject>Position measurement</subject><subject>Workstations</subject><isbn>0879426004</isbn><isbn>9780879426002</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1990</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNUM1KAzEYDIhQrX0APeUFtuZ3NznKUrVQ7KU9l-zmSzfS3SxJivj2rqwH5zLfDMPANwg9UrKmlOjn7abef6yp1pMWmqrqBt0TVWnBSkLEAq1S-iQThKSsLO9Qd0yAg8O-N2fAYwwtpOSHM3Yh4twB7sGka4QehvybC9FPl8k-DPjL5w6bcbz4djZywOaaQ28yWOx86v4VPqBbZy4JVn-8RIfXzaF-L3b7t239siu8qnLBGtY62RoioVRWVIzLVljCpKYNd4I2mjteSV4qbaUzXINVVjVGasmkoIIv0dNc6wHgNMbpr_h9mqfgPzeQVns</recordid><startdate>1990</startdate><enddate>1990</enddate><creator>Gamage, L.B.</creator><creator>de Silva, C.W.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1990</creationdate><title>Use of image processing for the measurement of orientation with application to automated fish processing</title><author>Gamage, L.B. ; de Silva, C.W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i87t-2b2cf5ca05e68d47235c4d02591b3f41b93f3753689d5fa39ed8d8ba595254143</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Automation</topic><topic>Head</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Laboratories</topic><topic>Marine animals</topic><topic>Mechanical engineering</topic><topic>Mechanical variables measurement</topic><topic>Position measurement</topic><topic>Workstations</topic><toplevel>online_resources</toplevel><creatorcontrib>Gamage, L.B.</creatorcontrib><creatorcontrib>de Silva, C.W.</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>Gamage, L.B.</au><au>de Silva, C.W.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Use of image processing for the measurement of orientation with application to automated fish processing</atitle><btitle>[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society</btitle><stitle>IECON</stitle><date>1990</date><risdate>1990</risdate><spage>482</spage><epage>487 vol.1</epage><pages>482-487 vol.1</pages><isbn>0879426004</isbn><isbn>9780879426002</isbn><abstract>The authors examine the concept of the orientation of a 2D object from three points of view; a direct axis of geometric shape, the principal axis defined in terms of the principal second movements of area, and the major axis of the fundamental ellipse fitting the boundary of the object. The three methods are implemented on a vision workstation and applied to samples of Pacific salmon. The results are compared with direct measurement orientation. The three methods of orientation measurement are evaluated quantitatively using these results, with respect to accuracy, speed of measurement and appropriateness under various practical conditions.< ></abstract><pub>IEEE</pub><doi>10.1109/IECON.1990.149187</doi></addata></record> |
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| identifier | ISBN: 0879426004 |
| ispartof | [Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society, 1990, p.482-487 vol.1 |
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| language | eng |
| recordid | cdi_ieee_primary_149187 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Automation Head Image processing Image segmentation Laboratories Marine animals Mechanical engineering Mechanical variables measurement Position measurement Workstations |
| title | Use of image processing for the measurement of orientation with application to automated fish processing |
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