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Metadata

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3MC5MS2
Repositorysid.inpe.br/sibgrapi/2016/08.31.19.48
Last Update2016:08.31.19.48.16 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/08.31.19.48.16
Metadata Last Update2022:05.18.22.21.09 (UTC) administrator
Citation KeyPaivaQueiSilvSilv:2016:CoAuOv
TitleContagem Automática de Ovos de Rhipicephalus (Boophilus) microplus em Imagens Microscópicas
FormatOn-line
Year2016
Access Date2024, Apr. 29
Number of Files1
Size1274 KiB
2. Context
Author1 Paiva, Pedro Victor Vieira de
2 Queiroz, Fabiane da Silva
3 Silva, Aline Nunes
4 Silva, Maria Josilaine dos Santos
Affiliation1 Universidade Federal de Alagoas
2 Universidade Federal de Alagoas
3 Universidade Federal de Alagoas
4 Universidade Federal de Alagoas
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addresspedro.paiva@arapiraca.ufal.br
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2016-08-31 19:48:16 :: pedro.paiva@arapiraca.ufal.br -> administrator ::
2022-05-18 22:21:09 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordsprocessamento de imagens
extração de características
contagem automática
contagem de ovos de carrapatos
AbstractThe identification of effective pesticides to combat parasites as the tick Rhipicephalus (Boophilus) microplus requires hatchability studies in the presence of acaricides, part of the process is the egg counting. Due to the small size and the large number of eggs placed, the counting task is laborious and demand long periods. We propose a method of automatic counting of eggs using images captured with stereoscopic microscope. The proposed method combines border detection techniques and morphological operations to identify eggs regions. Features extractors and machine learn techniques are used to identify eggs overlap regions. Preliminary results indicate an accuracy of 93% in predicting the number of eggs in a much shorter time fraction compared to the traditional manual counting technique.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Contagem Automática de...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3MC5MS2
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3MC5MS2
Languagept
Target Filecontagem-automatica-carrapatos(FINAL).pdf
User Grouppedro.paiva@arapiraca.ufal.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 7
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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