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Color assessment of the eggs using computer vision system and Minolta colorimeter
The scientific journal articles (n = 150) were examined to obtain instrumental egg color data published in the period 2009–2020. The majority of articles originated from Asia (42.0%), investigated yolk color (45.3%), selected Minolta device (65.3%). The greatest part of papers failed to include para...
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Published in: | Journal of food measurement & characterization 2021-12, Vol.15 (6), p.5097-5112 |
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description | The scientific journal articles (n = 150) were examined to obtain instrumental egg color data published in the period 2009–2020. The majority of articles originated from Asia (42.0%), investigated yolk color (45.3%), selected Minolta device (65.3%). The greatest part of papers failed to include parameters such as port size (92.0%), observer (90.0%), illuminant (84.0%), technical replicates (70.0%) and calibration method (66.7%), and, therefore, this represents a key matter in conducting comparative research to ensure equivalence in order to trace and compare different research data. Furthermore, the usage of a computer vision system (CVS) for egg color analysis was investigated. The color of five egg species (chicken, goose, duck, quail and turkey) was estimated using a CVS and a traditional colorimeter. The CVS-produced color was highly similar to the actual color of egg sample (ranging from 75.0 to 100.0%). The color of eggshell gathered through the Minolta depicts brighter, less “red” and more “yellow” appearance than CVS. Regarding the color of yolk samples, Minolta had lighter (except the goose's yolk), more “green” and less “yellow” color, whereas CVS indicated the appearance of albumen as lighter (except quail's), more “red” and less “yellow” than colorimeter. Those results read by Minolta showed a non-real color of egg samples, whereas CVS-obtained color was highly similar to the actual egg color sample. Considering these results, it could be concluded that the CVS is a superior alternative for replacing traditional devices by providing better accuracy. |
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The majority of articles originated from Asia (42.0%), investigated yolk color (45.3%), selected Minolta device (65.3%). The greatest part of papers failed to include parameters such as port size (92.0%), observer (90.0%), illuminant (84.0%), technical replicates (70.0%) and calibration method (66.7%), and, therefore, this represents a key matter in conducting comparative research to ensure equivalence in order to trace and compare different research data. Furthermore, the usage of a computer vision system (CVS) for egg color analysis was investigated. The color of five egg species (chicken, goose, duck, quail and turkey) was estimated using a CVS and a traditional colorimeter. The CVS-produced color was highly similar to the actual color of egg sample (ranging from 75.0 to 100.0%). The color of eggshell gathered through the Minolta depicts brighter, less “red” and more “yellow” appearance than CVS. Regarding the color of yolk samples, Minolta had lighter (except the goose's yolk), more “green” and less “yellow” color, whereas CVS indicated the appearance of albumen as lighter (except quail's), more “red” and less “yellow” than colorimeter. Those results read by Minolta showed a non-real color of egg samples, whereas CVS-obtained color was highly similar to the actual egg color sample. Considering these results, it could be concluded that the CVS is a superior alternative for replacing traditional devices by providing better accuracy.</description><identifier>ISSN: 2193-4126</identifier><identifier>EISSN: 2193-4134</identifier><identifier>DOI: 10.1007/s11694-021-01085-4</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Albumen ; Aquatic birds ; Calibration ; Chemistry ; Chemistry and Materials Science ; Chemistry/Food Science ; Color ; Computer vision ; Egg shells ; Eggs ; Engineering ; Food Science ; Original Paper ; Vision systems ; Waterfowl ; Yolk</subject><ispartof>Journal of food measurement & characterization, 2021-12, Vol.15 (6), p.5097-5112</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-b70ad75495f21fe49724a0f045f2cc099c8658e6a5feef79f8b2d5c64fa156163</citedby><cites>FETCH-LOGICAL-c319t-b70ad75495f21fe49724a0f045f2cc099c8658e6a5feef79f8b2d5c64fa156163</cites><orcidid>0000-0002-5344-5383</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2582477371?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,25734,27905,27906,36993,44571</link.rule.ids></links><search><creatorcontrib>Milovanovic, Bojana</creatorcontrib><creatorcontrib>Tomovic, Vladimir</creatorcontrib><creatorcontrib>Djekic, Ilija</creatorcontrib><creatorcontrib>Solowiej, Bartosz G.</creatorcontrib><creatorcontrib>Lorenzo, Jose M.</creatorcontrib><creatorcontrib>Barba, Francisco J.</creatorcontrib><creatorcontrib>Tomasevic, Igor</creatorcontrib><title>Color assessment of the eggs using computer vision system and Minolta colorimeter</title><title>Journal of food measurement & characterization</title><addtitle>Food Measure</addtitle><description>The scientific journal articles (n = 150) were examined to obtain instrumental egg color data published in the period 2009–2020. The majority of articles originated from Asia (42.0%), investigated yolk color (45.3%), selected Minolta device (65.3%). The greatest part of papers failed to include parameters such as port size (92.0%), observer (90.0%), illuminant (84.0%), technical replicates (70.0%) and calibration method (66.7%), and, therefore, this represents a key matter in conducting comparative research to ensure equivalence in order to trace and compare different research data. Furthermore, the usage of a computer vision system (CVS) for egg color analysis was investigated. The color of five egg species (chicken, goose, duck, quail and turkey) was estimated using a CVS and a traditional colorimeter. The CVS-produced color was highly similar to the actual color of egg sample (ranging from 75.0 to 100.0%). The color of eggshell gathered through the Minolta depicts brighter, less “red” and more “yellow” appearance than CVS. Regarding the color of yolk samples, Minolta had lighter (except the goose's yolk), more “green” and less “yellow” color, whereas CVS indicated the appearance of albumen as lighter (except quail's), more “red” and less “yellow” than colorimeter. Those results read by Minolta showed a non-real color of egg samples, whereas CVS-obtained color was highly similar to the actual egg color sample. Considering these results, it could be concluded that the CVS is a superior alternative for replacing traditional devices by providing better accuracy.</description><subject>Albumen</subject><subject>Aquatic birds</subject><subject>Calibration</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Chemistry/Food Science</subject><subject>Color</subject><subject>Computer vision</subject><subject>Egg shells</subject><subject>Eggs</subject><subject>Engineering</subject><subject>Food Science</subject><subject>Original Paper</subject><subject>Vision systems</subject><subject>Waterfowl</subject><subject>Yolk</subject><issn>2193-4126</issn><issn>2193-4134</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNp9kE1LxDAQhoMouKz7BzwFPFczaT6aoyx-wYoIeg7ZblK7bJs10wr7741W9OYpE3jed4aHkHNgl8CYvkIAZUTBOBQMWCULcURmHExZCCjF8e_M1SlZIG4ZYwBaCFXOyPMy7mKiDtEjdr4faAx0ePPUNw3SEdu-oXXs9uPgE_1osY09xQMOvqOu39DHto-7wWUkt7Sdz9QZOQluh37x887J6-3Ny_K-WD3dPSyvV0VdghmKtWZuo6UwMnAIXhjNhWOBifyva2ZMXSlZeeVk8D5oE6o138haieBAKlDlnFxMvfsU30ePg93GMfV5peWy4kLrUkOm-ETVKSImH-w-3-nSwQKzX_bsZM9me_bbnhU5VE4hzHDf-PRX_U_qExC4cng</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Milovanovic, Bojana</creator><creator>Tomovic, Vladimir</creator><creator>Djekic, Ilija</creator><creator>Solowiej, Bartosz G.</creator><creator>Lorenzo, Jose M.</creator><creator>Barba, Francisco J.</creator><creator>Tomasevic, Igor</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0002-5344-5383</orcidid></search><sort><creationdate>20211201</creationdate><title>Color assessment of the eggs using computer vision system and Minolta colorimeter</title><author>Milovanovic, Bojana ; 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The majority of articles originated from Asia (42.0%), investigated yolk color (45.3%), selected Minolta device (65.3%). The greatest part of papers failed to include parameters such as port size (92.0%), observer (90.0%), illuminant (84.0%), technical replicates (70.0%) and calibration method (66.7%), and, therefore, this represents a key matter in conducting comparative research to ensure equivalence in order to trace and compare different research data. Furthermore, the usage of a computer vision system (CVS) for egg color analysis was investigated. The color of five egg species (chicken, goose, duck, quail and turkey) was estimated using a CVS and a traditional colorimeter. The CVS-produced color was highly similar to the actual color of egg sample (ranging from 75.0 to 100.0%). The color of eggshell gathered through the Minolta depicts brighter, less “red” and more “yellow” appearance than CVS. Regarding the color of yolk samples, Minolta had lighter (except the goose's yolk), more “green” and less “yellow” color, whereas CVS indicated the appearance of albumen as lighter (except quail's), more “red” and less “yellow” than colorimeter. Those results read by Minolta showed a non-real color of egg samples, whereas CVS-obtained color was highly similar to the actual egg color sample. Considering these results, it could be concluded that the CVS is a superior alternative for replacing traditional devices by providing better accuracy.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11694-021-01085-4</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-5344-5383</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Albumen Aquatic birds Calibration Chemistry Chemistry and Materials Science Chemistry/Food Science Color Computer vision Egg shells Eggs Engineering Food Science Original Paper Vision systems Waterfowl Yolk |
title | Color assessment of the eggs using computer vision system and Minolta colorimeter |
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