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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3PEUQJS
Repositorysid.inpe.br/sibgrapi/2017/08.16.12.58
Last Update2017:08.16.12.58.57 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2017/08.16.12.58.57
Metadata Last Update2022:06.14.00.08.41 (UTC) administrator
DOI10.1109/SIBGRAPI.2017.32
Citation KeyMedeirosNetoBragHarbJúni:2017:DrMeGe
TitleDrosophila melanogaster Gender Classification Based on Fractal Dimension
FormatOn-line
Year2017
Access Date2024, Apr. 29
Number of Files1
Size1350 KiB
2. Context
Author1 Medeiros Neto, Francisco Gerardo
2 Braga, Ítalo Rodrigues
3 Harber, Matthew Henry
4 Júnior, Iális Cavalcante de Paula
Affiliation1 Federal University of Ceará
2 Federal University of Ceará
3 GeoPoll
4 Federal University of Ceará
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylčne
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, Joăo Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
e-Mail Addressfcogmneto@gmail.com
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ, Brazil
Date17-20 Oct. 2017
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2017-08-16 12:58:57 :: fcogmneto@gmail.com -> administrator ::
2022-06-14 00:08:41 :: administrator -> :: 2017
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsstationary wavelet transform
Canny filter
fractal dimension
classification
AbstractBiometrics, previously used only in human identification, can help experts in the analysis of biological images. Flies of the genus Drosophila have become model organisms by almost global presence and short life cycle. Facial recognition techniques and geometric morphometry can be used in image processing for classification. The latter requires human interaction. This work details a methodology based on stationary wavelet transform, Canny filter and fractal dimension aimed to infer the gender of Drosophila melanogaster based on images of their wings. The combination of variation in the training and test samples and classification methods showed the proposed algorithms accuracy rate, 90%, outperformed other methods. The proposed methodology proved efficient by using a reduced number of attributes and did not require human interaction for feature extraction (landmarks).
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Drosophila melanogaster Gender...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Drosophila melanogaster Gender...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3PEUQJS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3PEUQJS
Languageen
Target Filesibgrapi-2017-cr.pdf
User Groupfcogmneto@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3PKCC58
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2017/09.12.13.04 13
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination 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 volume


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