1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3C8EHNS |
Repository | sid.inpe.br/sibgrapi/2012/07.06.13.25 |
Last Update | 2012:07.06.13.25.27 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2012/07.06.13.25.27 |
Metadata Last Update | 2022:06.14.00.07.24 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2012.15 |
Citation Key | CostaHumpTrai:2012:EfAlFr |
Title | An Efficient Algorithm for Fractal Analysis of Textures |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2024, May 16 |
Number of Files | 1 |
Size | 2310 KiB |
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2. Context | |
Author | 1 Costa, Alceu Ferraz 2 Humpire-Mamani, Gabriel 3 Traina, Agma Juci Machado |
Affiliation | 1 University of São Paulo, USP, Department of Computer Science 2 University of São Paulo, USP, Department of Computer Science 3 University of São Paulo, USP, Department of Computer Science |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | alceufc@icmc.usp.br |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto, MG, Brazil |
Date | 22-25 Aug. 2012 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2012-09-20 16:45:34 :: alceufc@icmc.usp.br -> administrator :: 2012 2022-03-08 21:03:22 :: administrator -> menottid@gmail.com :: 2012 2022-03-10 12:50:55 :: menottid@gmail.com -> administrator :: 2012 2022-06-14 00:07:24 :: administrator -> :: 2012 |
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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 | Fractal analysis texture feature extraction content based image retrieval image classification image processing |
Abstract | In this paper we propose a new and efficient texture feature extraction method: the Segmentation-based Fractal Texture Analysis, or SFTA. The extraction algorithm consists in decomposing the input image into a set of binary images from which the fractal dimensions of the resulting regions are computed in order to describe segmented texture patterns. The decomposition of the input image is achieved by the Two-Threshold Binary Decomposition (TTBD) algorithm, which we also propose in this work. We evaluated SFTA for the tasks of content-based image retrieval (CBIR) and image classification, comparing its performance to that of other widely employed feature extraction methods such as Haralick and Gabor filter banks. SFTA achieved higher precision and accuracy for CBIR and image classification. Additionally, SFTA was at least 3.7 times faster than Gabor and 1.6 times faster than Haralick with respect to feature extraction time. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2012 > An Efficient Algorithm... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > An Efficient Algorithm... |
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/8JMKD3MGPBW34M/3C8EHNS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3C8EHNS |
Language | en |
Target File | PID2438001.pdf |
User Group | alceufc@icmc.usp.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SL8GS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.15.03.31 5 |
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 documentstage 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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