Open AccessContactless Rail Profile Measurement and Rail Fault Diagnosis Approach Using Featured Pixel Counting
Author(s) -
Gülşah Karaduman,
Mehmet Karaköse,
İlhan Aydın,
Erhan Akın
Publication year - 2020
Publication title -
intelligent automation and soft computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.271
H-Index - 27
eISSN - 2326-005X
pISSN - 1079-8587
DOI - 10.32604/iasc.2020.013922
Subject(s) - train , computer science , fault (geology) , pixel , image (mathematics) , artificial intelligence , real time computing , computer vision , simulation , computer hardware , geology , cartography , seismology , geography
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