1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3PEUQJS |
Repository | sid.inpe.br/sibgrapi/2017/08.16.12.58 |
Last Update | 2017:08.16.12.58.57 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2017/08.16.12.58.57 |
Metadata Last Update | 2022:06.14.00.08.41 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2017.32 |
Citation Key | MedeirosNetoBragHarbJúni:2017:DrMeGe |
Title | Drosophila melanogaster Gender Classification Based on Fractal Dimension |
Format | On-line |
Year | 2017 |
Access Date | 2024, Oct. 15 |
Number of Files | 1 |
Size | 1350 KiB |
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2. Context | |
Author | 1 Medeiros Neto, Francisco Gerardo 2 Braga, Ítalo Rodrigues 3 Harber, Matthew Henry 4 Júnior, Iális Cavalcante de Paula |
Affiliation | 1 Federal University of Ceará 2 Federal University of Ceará 3 GeoPoll 4 Federal University of Ceará |
Editor | Torchelsen, 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 Address | fcogmneto@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ, Brazil |
Date | 17-20 Oct. 2017 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2017-08-16 12:58:57 :: fcogmneto@gmail.com -> administrator :: 2022-06-14 00:08:41 :: administrator -> :: 2017 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | stationary wavelet transform Canny filter fractal dimension classification |
Abstract | Biometrics, 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Drosophila melanogaster Gender... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Drosophila melanogaster Gender... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3PEUQJS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PEUQJS |
Language | en |
Target File | sibgrapi-2017-cr.pdf |
User Group | fcogmneto@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PKCC58 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2017/09.12.13.04 44 sid.inpe.br/sibgrapi/2022/06.10.21.49 3 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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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