An approach for classifying ceramic tile defects based on a two-dimensional Genetic CNN algorithm
Author:
Funder
Funds for Science and Technology Development of the University of Danang
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09012-y.pdf
Reference24 articles.
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2. Hanzaei SH, Afshar A, Barazandeh F (2017) Automatic detection and classification of the ceramic tiles’ surface defects. Pattern Recogn 66:174–189
3. Huynh NT, Chien CF (2018) A hybrid multi-subpopulation genetic algorithm for textile batch dyeing scheduling and an empirical study. Comput Ind Eng 125:615–627
4. Huynh NT, Huang YC, Chien CF (2018) A hybrid genetic algorithm with 2D encoding for the scheduling of rehabilitation patients. Comput Ind Eng 125:221–231
5. Sanghadiya F, Mistry D (2015) Surface defect detection in a tile using digital image processing: Analysis and evaluation. Int J Comput Appl 116(10):33–35
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