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DEFECT CLASSIFICATION OF RAILWAY FASTENERS USING IMAGE PREPROCESSING AND A LIGHTWEIGHT CONVOLUTIONAL NEURAL NETWORK
Author(s) -
İlhan Aydın,
Mehmet Sevi,
Mehmet Umut Salur,
Erhan Akın
Publication year - 2021
Publication title -
turkish journal of electrical engineering and computer sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 30
eISSN - 1303-6203
pISSN - 1300-0632
DOI - 10.3906/elk-2106-42
Subject(s) - convolutional neural network , preprocessor , computer science , artificial intelligence , pattern recognition (psychology) , artificial neural network , image (mathematics) , contextual image classification , computer vision

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