Fault Classification on Melamine Faced Panels Using Local Binary Pattern-Reference-Cited by-同舟云学术

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Fault Classification on Melamine Faced Panels Using Local Binary Pattern

Published:2022-10-24 Issue: Volume: Page:
ISSN:
Container-title:2022 35th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
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Author:

De Sa Fernando P. G.¹,Aguilera Cristhian²,Aguilera Cristhian A.³,Conci Aura¹

Affiliation:

1. Institute of Computing (IC), Federal Fluminense University (UFF),Niterói,Brazil

2. University of Bío-Bío,Department of Electrical and Electronics Engineering,Concepción,Chile

3. University of Lagos,Departamento de Ciencias de la Ingeniería,Osorno,Chile

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9991741/9991742/09991803.pdf?arnumber=9991803

Reference29 articles.

1. Defect Detection of Particleboards by Visual Analysis and Machine Learning

2. Low Intensity RGB Texture Enhancement Based on Near Infrared Image Using Perceptual Information

3. Fault diagnosis in industrial processes based on predictive and descriptive machine learning methods

4. Wood Recognition and Quality Imaging Inspection Systems

5. Comparison of feature extraction techniques on segmented wood defects;ahmad;J Eng Appl Sci,2016

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