Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Valérie Kaftandjian"'
Publikováno v:
e-Journal of Nondestructive Testing, Vol 28, Iss 9 (2023)
Cet article évalue le potentiel du convolutional sparse coding (CSC) pour réduire les artefacts dans les images 3D par tomographie rayons X dans le cas où peu de projections sont disponibles. La méthode CSC proposée est testée sur des échantil
Externí odkaz:
https://doaj.org/article/64203b6e26cb4b6aa65efc4befc539e7
Publikováno v:
e-Journal of Nondestructive Testing, Vol 28, Iss 9 (2023)
Cet article propose une méthodologie pour améliorer la qualité de la reconstruction tomographique par rayons X en utilisant la connaissance a priori du modèle 3D de l'objet inspecté. Pour cela, la conception assistée par ordinateur (CAO) de l'o
Externí odkaz:
https://doaj.org/article/25852bd7ddc04c43aed71a4c203d6b11
Publikováno v:
Industrie du futur.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22e240f00bb6073cb2d87de24f8f23a0
https://doi.org/10.51257/a-v1-sf1500
https://doi.org/10.51257/a-v1-sf1500
Akademický článek
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Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b682651109d914123a315475311f7e79
https://doi.org/10.2139/ssrn.4170496
https://doi.org/10.2139/ssrn.4170496
Publikováno v:
e-Journal of Nondestructive Testing, Vol 29, Iss 3 (2024)
X-ray computed tomography allows scanning the internal attenuation coefficient of a part. In X-ray domain, this coefficient highly depends on the materials. To perform a dimensional measurement from the volumetric data, a surface (i.e. point cloud)
Externí odkaz:
https://doaj.org/article/dae5442e5c6541e9a63b2d1d51200933
Autor:
Ahmad Osman, Valerie Kaftandjian
Publikováno v:
AIMS Materials Science, Vol 4, Iss 4, Pp 920-938 (2017)
Ultrasound waves are preferably used as means to provide details about the inner structure of materials, thus providing a way to non-destructively evaluate the quality of produced components. Nevertheless, ultrasonic data are strongly a ected by a mu
Externí odkaz:
https://doaj.org/article/8247e4b4edb74997be78cdc8f9f92c3c
Publikováno v:
HAL
Digital Industrial Radiology and Computed Tomography
Digital Industrial Radiology and Computed Tomography, Ghent University, Jun 2015, Ghent, France
Digital Industrial Radiology and Computed Tomography
Digital Industrial Radiology and Computed Tomography, Ghent University, Jun 2015, Ghent, France
International audience; When dealing with X-ray inspection of large industrial objects, we are generally interested in the 3D reconstruction of a region-of-interest potentially containing flaws or other features rather than on the reconstruction of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::224cec97919c5f23ec8e23d1d70398e1
https://hal.archives-ouvertes.fr/hal-01282363
https://hal.archives-ouvertes.fr/hal-01282363
Autor:
Xie, Bingqing
Publikováno v:
Medical Imaging. Université de Lyon, 2020. English. ⟨NNT : 2020LYSEI021⟩
Material decomposition is a fundamental and primordial problem in spectral photon-counting X-ray CT (sCT). The present thesis focuses on the development of material decomposition methods using spectral and morphological information embedded in multi-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5cd1063f79d183c7347577cf6b815a76
https://theses.hal.science/tel-03078526
https://theses.hal.science/tel-03078526
Autor:
Su, Ting
Publikováno v:
Signal and Image processing. Université de Lyon, 2018. English. ⟨NNT : 2018LYSEI056⟩
X-ray computed tomography (X-ray CT) plays an important part in non-invasive imaging since its introduction. During the past few years, numerous technological advances in X-ray CT have been observed, including spectral CT, which uses photon counting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ce49c304dac8e999c11865bd2608715b
https://tel.archives-ouvertes.fr/tel-01897337
https://tel.archives-ouvertes.fr/tel-01897337