Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3PH2NFL |
Repository | sid.inpe.br/sibgrapi/2017/08.29.01.15 |
Last Update | 2017:08.29.01.15.25 luiz.buschetto@grad.ufsc.br |
Metadata | sid.inpe.br/sibgrapi/2017/08.29.01.15.25 |
Metadata Last Update | 2020:02.20.22.06.46 administrator |
Citation Key | MacariniWebe:2017:QuCoSy |
Title | Quality Control System for Ceramic Tiles using Segmentation-based Fractal Texture Analysis and SVM  |
Format | On-line |
Year | 2017 |
Date | Oct. 17-20, 2017 |
Access Date | 2021, Jan. 21 |
Number of Files | 1 |
Size | 429 KiB |
Context area | |
Author | 1 Macarini, Luiz Antonio 2 Weber, Tiago Oliveira |
Affiliation | 1 Universidade Federal de Santa Catarina 2 Universidade Federal de Santa Catarina |
Editor | Torchelsen, Rafael Piccin Nascimento, Erickson Rangel do Panozzo, Daniele Liu, Zicheng Farias, Mylène Viera, Thales Sacht, Leonardo Ferreira, Nivan Comba, João Luiz Dihl Hirata, Nina Schiavon Porto, Marcelo Vital, Creto Pagot, Christian Azambuja Petronetto, Fabiano Clua, Esteban Cardeal, Flávio |
e-Mail Address | luiz.buschetto@grad.ufsc.br |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ |
Book Title | Proceedings |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Tertiary Type | Industry Application Paper |
History | 2017-08-29 01:15:25 :: luiz.buschetto@grad.ufsc.br -> administrator :: 2020-02-20 22:06:46 :: administrator -> :: 2017 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | Image Processing, Machine Learning, SFTA, Ceramic Tiles, Defect Detection. |
Abstract | The ceramic industry has a highly automated production system. The quality control, however, is still performed by humans, which limits its speed and precision. This work proposes a complete verification system for ceramic tiles based on image processing and machine learning. The system has four steps: image acquisition, pre-processing, feature extraction and classification. The feature extraction step uses Segmentation-based Fractal Texture Analysis (SFTA). A Support Vector Machine is employed to classify the ceramic tiles. The system is implemented using OpenCV libraries. In total, 783 ceramic tiles were used, being 80% for training and 20% to testing. The present work had reached the proposed objectives, both in processing time and accuracy, achieving 98.68% of detection rate. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPAW/3PH2NFL |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PH2NFL |
Language | en |
Target File | SIBGRAPI_Luiz_Tiago.pdf |
User Group | luiz.buschetto@grad.ufsc.br |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PJT9LS 8JMKD3MGPAW/3PKCC58 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition 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 |
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