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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3S3JPCH
Repositorysid.inpe.br/sibgrapi/2018/10.18.19.37
Last Update2018:10.18.19.37.50 (UTC) tamirisnegri@gmail.com
Metadata Repositorysid.inpe.br/sibgrapi/2018/10.18.19.37.50
Metadata Last Update2022:05.18.22.18.33 (UTC) administrator
Citation KeyBorgesGonz:2018:LoTeDe
TitleLocal Texture Descriptors for Color Texture Classification Under Varying Illumination
FormatOn-line
Year2018
Access Date2024, Apr. 29
Number of Files1
Size1572 KiB
2. Context
Author1 Borges, Tamiris Trevisan Negri
2 Gonzaga, Adilson
Affiliation1 University of Sao Paulo - USP and Federal Institute of Sao Paulo - IFSP
2 University of Sao Paulo - USP
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addresstamirisnegri@gmail.com
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Date29 Oct.-1 Nov. 2018
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeMaster's or Doctoral Work
History (UTC)2018-10-18 19:37:50 :: tamirisnegri@gmail.com -> administrator ::
2022-05-18 22:18:33 :: administrator -> :: 2018
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsColor texture classification
local texture descriptors
varying illumination
AbstractColor texture classification under varying illumination remains a challenge in the field of computer vision, and it greatly relies on the efficiency of the feature descriptors. The aim of the thesis is to improve the classification of color texture acquired with varying illumination sources by improving the description power of feature descriptors. We propose three new color texture descriptors, namely: the Opponent Color Local Mapped Pattern (OCLMP), which combines a local methodology (LMP) with the opponent-colors theory; the Color Intensity Local Mapped Pattern (CILMP), which extracts color and texture information jointly, in a multi-resolution fashion and the Extended Color Local Mapped Pattern (ECLMP), which applies two operators to extract color and texture information jointly as well. As the proposed methods are based on the LMP algorithm, they are parametric functions. Finding the optimal set of parameters for the descriptor can be a cumbersome task. Therefore, this work adopts genetic algorithms to automatically adjust the parameters. The methods were assessed using two texture data sets acquired under varying illumination sources: RawFooT (Raw Food Texture Database), and the KTH-TIPS-2b (Textures under varying Illumination, Pose and Scale Database). The experimental results show that the proposed descriptors are more robust to variations to the illumination source than other methods found in the literature. The improvement on the accuracy was higher than 15% in the RawFoot data set, and higher than 4% in the KTH-TIPS-2b data set.
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3S3JPCH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3S3JPCH
Languageen
Target FileCameraReady_Tamiris.pdf
User Grouptamirisnegri@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
Citing Item Listsid.inpe.br/sibgrapi/2018/09.03.20.37 10
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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