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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/39RQCSH
Repositorydpi.inpe.br/plutao/2011/06.11.03.16   (restricted access)
Last Update2011:11.03.18.40.09 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2011/06.11.03.16.20
Metadata Last Update2018:06.05.00.01.19 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.1007/s00138-011-0339-7
ISSN0932-8092
Labellattes: 4747919070495468 1 MantelliNetoAguiSantWang:2011:MuBaCo
Citation KeyMantelliNetoAguiSantWang:2012:MuBaCo
TitleMultivariate Bayesian cognitive modeling for unsupervised quality control of baked pizzas
Year2012
MonthMay
Access Date2024, May 19
Secondary TypePRE PI
Number of Files1
Size591 KiB
2. Context
Author1 Mantelli Neto, Sylvio Luiz
2 Aguiar, Daniel Besen de
3 Santos, Bianca Sens dos
4 von Wangenheim, Aldo
Resume Identifier1 8JMKD3MGP5W/3C9JJ9K
Group1 CPT-CPT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 UFSC INE INCOD LEPTEN, BR-88040900 Florianopolis, SC, Brazil
3 UFSC EMC LEPTEN, BR-88040900 Florianopolis, SC, Brazil
4 UFSC INE INCOD EGC, BR-88040900 Florianopolis, SC, Brazil.
Author e-Mail Address1 sylvio@lepten.ufsc.br
e-Mail Addresssylvio@lepten.ufsc.br
JournalMachine Vision and Applications
Volume23
Number3
Pages491 - 499
Secondary MarkB3_ASTRONOMIA_/_FÍSICA
History (UTC)2011-06-11 17:43:44 :: lattes -> marciana :: 2011
2011-06-20 18:19:39 :: marciana -> valdirene :: 2011
2012-07-24 12:48:50 :: valdirene :: 2011 -> 2012
2012-07-24 12:49:12 :: valdirene -> administrator :: 2012
2018-06-05 00:01:19 :: administrator -> valdirene :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsbayesian modeling
multivariate statistics
geometric color space locus computer vision
sauce spread
baking
color
classification
AbstractThe present article describes aBayesianmultivariate methodology developed for unsupervised quality control of pizzas based on RGB color attributes. A sensory experiment was done to define the readiness point ground truth. During the validation phase, different pizza samples were baked at a different temperature. The cheese and crust color patterns were statistically compared against the ground truth to check the readiness point. Results show that the proposed methodology presents a good performance demonstrating that color attributes can be used as an unsupervised quality control using traditional statistical methods.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > CGCPT > Multivariate Bayesian cognitive...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target FileMantelli Neto_ Multivariate Bayesian.pdf
User Groupadministrator
lattes
marciana
valdirene
Reader Groupadministrator
valdirene
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EUPEJL
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.15.00.44 1
sid.inpe.br/bibdigital/2013/10.06.18.03 1
URL (untrusted data)http://www.springerlink.com/content/ep61230628814724/
DisseminationWEBSCI; PORTALCAPES; COMPENDEX.
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesSetores de Atividade: Pesquisa e desenvolvimento científico.
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype typeofwork
7. Description control
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