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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JMNTFS
Repositorysid.inpe.br/sibgrapi/2015/06.19.21.04
Last Update2015:06.19.21.04.27 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2015/06.19.21.04.27
Metadata Last Update2022:06.14.00.08.10 (UTC) administrator
DOI10.1109/SIBGRAPI.2015.46
Citation KeyFernandezLopeHira:2015:ImSeAs
TitleImage Segmentation Assessment from the Perspective of a Higher Level Task
FormatOn-line
Year2015
Access Date2024, Apr. 25
Number of Files1
Size587 KiB
2. Context
Author1 Fernandez, Mariela Atausinchi
2 Lopes, Rubens M.
3 Hirata, Nina S. T.
Affiliation1 Institute of Mathematics and Statistics - University of São Paulo
2 Oceanographic Institute - University of São Paulo
3 Institute of Mathematics and Statistics - University of São Paulo
EditorPapa, João Paulo
Sander, Pedro Vieira
Marroquim, Ricardo Guerra
Farrell, Ryan
e-Mail Addressmariela@ime.usp.br
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2015-06-19 21:04:28 :: mariela@ime.usp.br -> administrator ::
2022-06-14 00:08:10 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsholistic system evaluation
classification evaluation
plankton image classification
segmentation evaluation
plankton image segmentation
AbstractImage segmentation evaluation is usually performed by visual inspection, by comparing segmentation to a ground-truth, or by computing an objective function value for the segmented image. All these methods require user participation either for manual evaluation, or to define ground-truth, or to embed desired segmentation properties into the objective function. However, evaluating segmentation is a hard task if none of these three methods can be easily employed. Often, higher level tasks such as detecting or classifying objects can be performed much more easily than low level tasks such as delineating the contours of the objects. This fact can be advantageously used to evaluate algorithms for a low level task. We apply this approach to a case study on plankton classification. Segmentation methods are evaluated from the perspective of plankton classification accuracy. This approach not only helps choosing a good segmentation method but also helps detecting points where segmentation is failing. In addition, this more holistic form of segmentation evaluation better meets requirements of big data analysis.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2015 > Image Segmentation Assessment...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Image Segmentation Assessment...
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/8JMKD3MGPBW34M/3JMNTFS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JMNTFS
Languageen
Target FilePID3769249.pdf
User Groupmariela@ime.usp.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 7
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 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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