Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Shaohu Peng"'
Autor:
Yifan Zhang, Zhi Zhang, Shaohu Peng, Dongyuan Li, Hongxin Xiao, Chao Tang, Runqing Miao, Lingxi Peng
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 9, Pp 9505-9519 (2022)
This paper proposes an anti-rotation template matching method based on a portion of the whole pixels. To solve the problem that the speed of the original template matching method based on NCC (Normalized cross correlation) is too slow for the rotated
Externí odkaz:
https://doaj.org/article/139c091e458e4839ac37cf24c1af9ddf
Publikováno v:
IEEE Access, Vol 10, Pp 83740-83754 (2022)
With the automation of industrial production, appearance defect detection based on machine vision plays an important role in product quality control. The scarcity of defect samples and real-time requirement are the main challenges in this field. Many
Externí odkaz:
https://doaj.org/article/ab412b5e4853439fab03d82553ac0a77
Autor:
Changhong Liu, Ning Xie, Xingxin Yang, Rongdong Chen, Xiangyang Chang, Ray Y. Zhong, Shaohu Peng, Xiaochu Liu
Publikováno v:
Sensors, Vol 22, Iss 18, p 6974 (2022)
Domestic trash detection is an essential technology toward achieving a smart city. Due to the complexity and variability of urban trash scenarios, the existing trash detection algorithms suffer from low detection rates and high false positives, as we
Externí odkaz:
https://doaj.org/article/083903c70b394c52bd0072f484a0dba7
Publikováno v:
Micromachines, Vol 12, Iss 6, p 702 (2021)
Wire electrical discharge machining (WEDM), widely used to fabricate micro and precision parts in manufacturing industry, is a nontraditional machining method using discharge energy which is transformed into thermal energy to efficiently remove mater
Externí odkaz:
https://doaj.org/article/043269f8c48640469e90160ff93989de
Publikováno v:
Journal of Manufacturing Systems. 64:409-423
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3eab567ec8ef6d74c284a25bded088c
https://doi.org/10.1016/j.jmsy.2022.07.003
https://doi.org/10.1016/j.jmsy.2022.07.003
Publikováno v:
The Visual Computer. 39:1929-1941
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8b461f59174399b0b9756c19993b781
https://doi.org/10.1007/s00371-022-02456-8
https://doi.org/10.1007/s00371-022-02456-8
Publikováno v:
Electronics Letters. 58:145-147
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::034e07e50e47756e9b95fbafb9cbd32b
https://doi.org/10.1049/ell2.12386
https://doi.org/10.1049/ell2.12386
Publikováno v:
2022 7th International Conference on Computer and Communication Systems (ICCCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d1e37d5f7d2656f76f87c7bf1abc3df
https://doi.org/10.1109/icccs55155.2022.9846809
https://doi.org/10.1109/icccs55155.2022.9846809
Publikováno v:
2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89b05f3ec10503520366043f7459932b
https://doi.org/10.1109/aemcse55572.2022.00045
https://doi.org/10.1109/aemcse55572.2022.00045
Autor:
Changhong Liu, Hongyin Li, Zhongwei Liang, Yongjun Zhang, Yier Yan, Ray Y. Zhong, Shaohu Peng
Publikováno v:
Electronics; Volume 11; Issue 19; Pages: 3038
The study explored a deep learning image super-resolution approach which is commonly used in face recognition, video perception and other fields. These generative adversarial networks usually have high-frequency texture details. The relevant textures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::427fd3965757458ed8b8bf1ead3017bb
https://doi.org/10.3390/electronics11193038
https://doi.org/10.3390/electronics11193038