期刊
ISA TRANSACTIONS
卷 101, 期 -, 页码 503-514出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2020.01.038
关键词
Precision measurement; Neural network; Image processing; Polar microstructure
资金
- Science, Technology and Innovation Commission of Shenzhen Municipality [JCYJ20160608161156442]
This study presents a fast precision measurement method that uses pattern recognition. First, a specific micro-structured surface was designed and manufactured, providing a unique pattern for recognition and matching. Second, a measurement system was proposed based on the algorithms of circle Hough transform (CHT), neural classifier (NC), template matching (TM) and sub-pixel interpolation (SI). Then, a series of experiments were carried out from three aspects: circle detection, length uncertainty, and measurement speed and range. The results showed the correct circle classification percentage was more than 96% and the CHT search accuracy was within a two-pixel level. The length uncertainty test demonstrated the method was able to achieve 90-nm length uncertainty, and a comparison of measurement speeds showed it helped to speed up measurements by a factor of 1000 compared to the original one. (c) 2020 ISA. Published by Elsevier Ltd. All rights reserved.
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