Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3C9K7LE |
Repository | sid.inpe.br/sibgrapi/2012/07.13.18.20 |
Last Update | 2012:07.13.18.20.02 caroltoledoferraz@gmail.com |
Metadata | sid.inpe.br/sibgrapi/2012/07.13.18.20.02 |
Metadata Last Update | 2020:02.19.02.18.28 administrator |
Citation Key | VieiraChieFerrGonz:2012:ImMiAn |
Title | Image micro-pattern analysis using Fuzzy Numbers  |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2021, Jan. 27 |
Number of Files | 1 |
Size | 828 KiB |
Context area | |
Author | 1 Vieira, Raissa Tavares 2 Chierici, Carlos Eduardo de Oliveira 3 Ferraz, Carolina Toledo 4 Gonzaga, Adilson |
Affiliation | 1 University of São Paulo 2 University of São Paulo 3 University of São Paulo 4 University of São Paulo |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | caroltoledoferraz@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto |
Date | Aug. 22-25, 2012 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2012-09-20 16:45:34 :: caroltoledoferraz@gmail.com -> administrator :: 2012 2020-02-19 02:18:28 :: administrator -> :: 2012 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | micro-pattern analysis, fuzzy numbers, texture analysis. |
Abstract | This paper proposes a new methodology for micropattern analysis in digital images based on fuzzy numbers. A micro-pattern is the structure of the gray-level pixels within a neighborhood and can describe the spatial context of the image, such as edge, line, spot, blob, corner, texture, and more complex patterns. By treating a pixel neighborhood as a fuzzy set and each pixel gray-level as a fuzzy number, we can evaluate the membership degree of the central pixel to the others. We have called this method the Local Fuzzy Pattern (LFP). Using a sigmoid membership function, we proved that the proposed methodology surpasses the Hit-rate of the Local Binary Pattern (LBP), for texture classification. The LFP proved to be robust to image rotation. Moreover, our proposed formulation for the LFP is a generalization of previously published techniques, such as Texture Unit, LBP, FUNED, and Census Transform. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3C9K7LE |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3C9K7LE |
Language | en |
Target File | Image micro-pattern analysis using Fuzzy Numbers.pdf |
User Group | caroltoledoferraz@gmail.com |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
| |