Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xiujin Xu"'
Publikováno v:
Machines, Vol 11, Iss 8, p 834 (2023)
Computer vision technology is increasingly being widely applied in automated industrial production. However, the accuracy of workpiece detection is the bottleneck in the field of computer vision detection technology. Herein, a new object detection an
Externí odkaz:
https://doaj.org/article/4678ce2c61524de7930d8ca035ca4dbd
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 6898 (2023)
Due to the presence of numerous surface defects, the inadequate contrast between defective and non-defective regions, and the resemblance between noise and subtle defects, edge detection poses a significant challenge in dimensional error detection, l
Externí odkaz:
https://doaj.org/article/186e7d7975464dda9db675872917d2e5
Publikováno v:
Agronomy, Vol 12, Iss 7, p 1520 (2022)
For the automated robotic picking of bunch-type fruit, the strategy is to roughly determine the location of the bunches, plan the picking route from a remote location, and then locate the picking point precisely at a more appropriate, closer location
Externí odkaz:
https://doaj.org/article/81cb021ceafd43ef8071c2a54f929eb5
Publikováno v:
Applied Sciences; Volume 13; Issue 12; Pages: 6898
Due to the presence of numerous surface defects, the inadequate contrast between defective and non-defective regions, and the resemblance between noise and subtle defects, edge detection poses a significant challenge in dimensional error detection, l
Publikováno v:
Geo-Informatics in Resource Management and Sustainable Ecosystem ISBN: 9783662457368
GRMSE
GRMSE
It is found that by the survey on the industrial waste water emissions and unreasonable use of fertilizers and an analysis of the correlation between chloride pollutants and other chemical characteristics of shallow groundwater in Jiaozuo that the sh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c9022382a251a10853c1e801b771d6d
https://doi.org/10.1007/978-3-662-45737-5_34
https://doi.org/10.1007/978-3-662-45737-5_34