@InProceedings{MacariniWebe:2017:QuCoSy,
author = "Macarini, Luiz Antonio and Weber, Tiago Oliveira",
affiliation = "{Universidade Federal de Santa Catarina} and {Universidade Federal
de Santa Catarina}",
title = "Quality Control System for Ceramic Tiles using Segmentation-based
Fractal Texture Analysis and SVM",
booktitle = "Proceedings...",
year = "2017",
editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and
Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and
Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba,
Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo
and Vital, Creto and Pagot, Christian Azambuja and Petronetto,
Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
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.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
language = "en",
ibi = "8JMKD3MGPAW/3PH2NFL",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PH2NFL",
targetfile = "SIBGRAPI_Luiz_Tiago.pdf",
urlaccessdate = "2024, Apr. 28"
}