Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Pierfrancesco Foglia"'
Publikováno v:
IEEE Access, Vol 12, Pp 36558-36576 (2024)
With the explosion of online video consumption, assessing and anticipating how users will evaluate the content they watch has become increasingly important. Traditional methods based on explicit user feedback are often limited in their ability to do
Externí odkaz:
https://doaj.org/article/c40d2e0932694ea4985ad555a9a2c86a
Publikováno v:
IET Image Processing, Vol 15, Iss 10, Pp 2179-2191 (2021)
Abstract In case of glass tube for pharmaceutical applications, high‐quality defect detection is made via inspection systems based on computer vision. The processing must guarantee real‐time inspection and meet increasing rate and quality require
Externí odkaz:
https://doaj.org/article/b7068861a68b4a78b98eca37658d9b21
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 17, Iss 2, Pp 31-39 (2019)
In this paper, we present an algorithm for defect detection in glass products that allows us to minimize the processing time. The main idea is based on the reduction of the size of the image area to investigate by using the features of glass images.
Externí odkaz:
https://doaj.org/article/d0bdee6a564848c49d8731f1eb22be51
Publikováno v:
Journal of Imaging, Vol 7, Iss 11, p 223 (2021)
During the production of pharmaceutical glass tubes, a machine-vision based inspection system can be utilized to perform the high-quality check required by the process. The necessity to improve detection accuracy, and increase production speed determ
Externí odkaz:
https://doaj.org/article/19d51b7b57274b35a93f1b20c54f23c1
Autor:
Mario Cimino, Antonio Di Tecco, Pierfrancesco Foglia, Raffaele Giannessi, Jacopo Malvatani, Cosimo Prete, Giulio Rossolini
Publikováno v:
Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c44b78cd338505f964ee3f4d05c3490
https://doi.org/10.5220/0011096000003191
https://doi.org/10.5220/0011096000003191
Publikováno v:
IET Image Processing, Vol 15, Iss 10, Pp 2179-2191 (2021)
In case of glass tube for pharmaceutical applications, high‐quality defect detection is made via inspection systems based on computer vision. The processing must guarantee real‐time inspection and meet increasing rate and quality requirements. De
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70c1c340d0b291076fd40b07cd06f36b
http://hdl.handle.net/11568/1108062
http://hdl.handle.net/11568/1108062
In the case of the glass tube for pharmaceutical applications, high-quality defect detection is made via inspection systems based on image processing. Such processing must be fast enough to guarantee real-time inspection and to meet the increasing ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb80bf3e895ff5a9de72a73cacb7df9c
http://hdl.handle.net/11568/1064566
http://hdl.handle.net/11568/1064566
Publikováno v:
Journal of Imaging
Volume 7
Issue 11
Journal of Imaging, Vol 7, Iss 223, p 223 (2021)
Volume 7
Issue 11
Journal of Imaging, Vol 7, Iss 223, p 223 (2021)
During the production of pharmaceutical glass tubes, a machine-vision based inspection system can be utilized to perform the high-quality check required by the process. The necessity to improve detection accuracy, and increase production speed determ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccdd69dda3543b6d0261aa2e6daee7f6
https://doi.org/10.3390/jimaging7110223
https://doi.org/10.3390/jimaging7110223
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030228705
The evolution of the glass production process requires high accuracy in defects detection and faster production lines. Both requirements result in a reduction in the processing time of defect detection in case of real-time inspection. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::062432a2db59ff5580a44d13feb6107a
https://doi.org/10.1007/978-3-030-22871-2_13
https://doi.org/10.1007/978-3-030-22871-2_13