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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/386GT4S
Repositorysid.inpe.br/sibgrapi/2010/08.30.11.46
Last Update2010:08.30.12.17.22 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/08.30.11.46.46
Metadata Last Update2024:03.23.15.30.56 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.50
Citation KeyMarianoCastCord:2010:SeToCo
TitlePyFibers: A semi-automatic tool for contour extraction from cross section images of photonic crystal fibers
FormatPrinted, On-line.
Year2010
Access Date2024, May 03
Number of Files1
Size9981 KiB
2. Context
Author1 Mariano, Anderson
2 Castellano, Gabriela
3 Cordeiro, Cristiano Monteiro de Barros
Affiliation1 Institute of Physics Gleb Wataghin, UNICAMP
2 Institute of Physics Gleb Wataghin, UNICAMP
3 Institute of Physics Gleb Wataghin, UNICAMP
EditorBellon, Olga
Esperança, Claudio
e-Mail Addressgabriela@ifi.unicamp.br
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:38 :: gabriela@ifi.unicamp.br -> administrator :: 2010
2024-03-23 15:30:56 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsphotonic crystal fiber
microstructured optical fiber
contour extraction
mathematical morphology
scanning electron microscopy
AbstractA photonic crystal fiber is a new type of optical fiber that presents an array of air holes running along its whole length and whose properties can be predicted upon precise knowledge of its cross section. Up to now, the cross section of these fibers has been estimated through manual segmentation of the contours in scanning electron microscopy (SEM) images. In this work, an image processing tool, called PyFibers, was developed, based on mathematical morphology (MM) operations. The tool extracts the contours from the images with minimal user intervention, and outputs a text file containing the contours coordinates and a DXF file with the contours. Either of these files can, subsequently, be used as input to softwares that evaluate the optical properties of the fibers.
Arrangement 1MM > PyFibers: A semi-automatic...
Arrangement 2urlib.net > SDLA > Fonds > SIBGRAPI 2010 > PyFibers: A semi-automatic...
Arrangement 3urlib.net > SDLA > Fonds > Full Index > PyFibers: A semi-automatic...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/386GT4S
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/386GT4S
Languageen
Target File65938_final_corr_erro_legenda_Fig_IFT.pdf
User Groupgabriela@ifi.unicamp.br
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPCW/4AUUH9L
8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 8
sid.inpe.br/banon/2001/03.30.15.38.24 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository 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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