Publication
Beef quality evaluation system
dc.contributor.author | Teixeira, Cátia | |
dc.contributor.author | Cadavez, Vasco | |
dc.contributor.author | Monteiro, Fernando C. | |
dc.date.accessioned | 2018-04-06T13:10:00Z | |
dc.date.available | 2018-04-06T13:10:00Z | |
dc.date.issued | 2015 | |
dc.description.abstract | Applying computer vision in meat quality evaluation has been an active area of research in recent years. Accurate segmentation of beef-marbling images plays an important role in making the correct decision on beef-marbling score in an automatic beef quality grading system. The purpose of this study was to develop a new segmentation method to correctly separate the fat flecks from the muscle in the rib-eye region in a beef image. The key idea was to measure the percentage of marbling in the muscle to obtain a beef quality evaluation system. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Teixeira, Cátia; Cadavez, Vasco; Monteiro, Fernando C. (2015). Beef quality evaluation system. In III Encontro de Jovens Investigadores do IPB. Bragança, Portugal | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10198/16729 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Instituto Politécnico de Bragança | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Computer vision system | pt_PT |
dc.subject | Beef quality | pt_PT |
dc.subject | Beef-marbling | pt_PT |
dc.subject | Percentage of marbling | pt_PT |
dc.title | Beef quality evaluation system | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Bragança, Portugal | pt_PT |
oaire.citation.endPage | 14 | pt_PT |
oaire.citation.startPage | 14 | pt_PT |
oaire.citation.title | III Encontro de Jovens Investigadores do IPB | pt_PT |
person.familyName | Cadavez | |
person.familyName | Monteiro | |
person.givenName | Vasco | |
person.givenName | Fernando C. | |
person.identifier | R-000-HDG | |
person.identifier.ciencia-id | 441B-01AB-A12E | |
person.identifier.ciencia-id | 2019-BDBF-10E2 | |
person.identifier.orcid | 0000-0002-3077-7414 | |
person.identifier.orcid | 0000-0002-1421-8006 | |
person.identifier.rid | A-3958-2010 | |
person.identifier.rid | H-9213-2016 | |
person.identifier.scopus-author-id | 9039121900 | |
person.identifier.scopus-author-id | 8986162600 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
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relation.isAuthorOfPublication.latestForDiscovery | 363b6c37-282c-4cd6-bb54-3c97cc700d78 |