P Fuchs, T Kröger, T Dierig… - 9th conference on …, 2019 - pdfs.semanticscholar.org
Labeling a data set is a tedious task, especially when identifying small pores in an artifact- prone three-dimensional computed tomography (CT) scan of a die cast. Modern deep …
P Fuchs, T Kröger, CS Garbe - … of the international symposium on digital …, 2019 - ndt.net
Automatically detecting pores in computed tomography (CT) scans of cast aluminum parts is a difficult task. This is especially the case when the data quality suffers from image artifacts …
AR Dakak, V Kaftandjian… - … Testing and Condition …, 2022 - ingentaconnect.com
Industrial X-ray computed tomography (CT) has proven to be one of the most powerful non- destructive testing (NDT) methods for the inspection of light metal castings. The generated …
Industrial X-ray computed tomography (CT) has proven its value as a non-destructive method for inspecting light metal castings. The CT volume generated enables the internal …
YS Ha, JB Kwon, WJ Yang, JK Seo - ISOPE International Ocean and …, 2024 - onepetro.org
ABSTRACT 3D X-ray Computed Tomography (CT) has emerged as a powerful non- destructive testing (NDT) technique of manufactured products by Additive Manufacturing …
C De Vleeschouwer, A Legrand… - … on Image Processing …, 2015 - ieeexplore.ieee.org
Randomized sets of binary tests have appeared to be quite effective in solving a variety of image processing and vision problems. The exponential growth of their memory usage with …
Y Yang, L Guo, Y Ye - Journal of Visual Communication and Image …, 2016 - Elsevier
In this paper, a new method of spatially constrained energy function and total variation flow edge (TVFE) model is proposed for natural image segmentation. As the segmentation …
HS Choi, YG Yang - Journal of IKEEE, 2019 - koreascience.kr
With the deployment of 4-th generation industrial revolution, the computer based manufacturing technologies employing advanced IT technology are much more popular …