Development of a faster classification system for metal parts using machine vision under different lighting environments
Crossref DOI link: https://doi.org/10.1007/s00170-018-2888-7
Published Online: 2018-10-29
Published Print: 2019-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Hsu, Quang-Cherng
Ngo, Ngoc-Vu
Ni, Rui-Hong
Text and Data Mining valid from 2018-10-29
Article History
Received: 26 June 2018
Accepted: 12 October 2018
First Online: 29 October 2018
Compliance with ethical standards
:
: The authors declare that they have no conflict of interest.