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Content-adaptive steganography by minimizing statistical detectability
Most current steganographic schemes embed the secret payload by minimizing a
heuristically defined distortion. Similarly, their security is evaluated empirically using …
heuristically defined distortion. Similarly, their security is evaluated empirically using …
Automatic defect recognition in x-ray testing using computer vision
To ensure safety in the construction of important metallic components for roadworthiness, it
is necessary to check every component thoroughly using non-destructive testing. In last …
is necessary to check every component thoroughly using non-destructive testing. In last …
[BOG][B] Computer vision for X-Ray testing
D Mery, C Pieringer - 2021 - Springer
Since Röntgen discovered in 1895 [90] that X-rays can be used to identify inner structures, X-
rays have been developed not only for their use in medical imaging for human beings, but …
rays have been developed not only for their use in medical imaging for human beings, but …
Aluminum casting inspection using deep learning: a method based on convolutional neural networks
D Mery - Journal of Nondestructive Evaluation, 2020 - Springer
Castings produced for the automotive industry are considered important components for
overall roadworthiness. To ensure the safety of construction, it is necessary to check every …
overall roadworthiness. To ensure the safety of construction, it is necessary to check every …
Content-adaptive pentary steganography using the multivariate generalized Gaussian cover model
V Sedighi, J Fridrich… - … , Security, and Forensics …, 2015 - spiedigitallibrary.org
The vast majority of steganographic schemes for digital images stored in the raster format
limit the amplitude of embedding changes to the smallest possible value. In this paper, we …
limit the amplitude of embedding changes to the smallest possible value. In this paper, we …
Aluminum casting inspection using deep object detection methods and simulated ellipsoidal defects
D Mery - Machine Vision and Applications, 2021 - Springer
In the automotive industry, light-alloy aluminum castings are an important element for
determining roadworthiness. X-ray testing with computer vision is used during automated …
determining roadworthiness. X-ray testing with computer vision is used during automated …
An ameliorated deep dense convolutional neural network for accurate recognition of casting defects in X-ray images
B Wu, J Zhou, H Yang, Z Huang, X Ji, D Peng… - Knowledge-Based …, 2021 - Elsevier
Recognizing defects in X-ray images plays an important role in the detection of internal
defects in titanium alloy castings. However, the existing manual defects recognition methods …
defects in titanium alloy castings. However, the existing manual defects recognition methods …
[BOG][B] Encyclopedia of Aluminum and its Alloys
GE Totten, M Tiryakioglu, O Kessler - 2018 - api.taylorfrancis.com
This encyclopedia, written by authoritative experts under the guidance of an international
panel of key researchers from academia, national laboratories, and industry, is a …
panel of key researchers from academia, national laboratories, and industry, is a …
Surface defect detection of aluminum alloy welds with 3D depth image and 2D gray image
Z Yan, B Shi, L Sun, J **ao - The International Journal of Advanced …, 2020 - Springer
Towards the trend and demand of automatic welding inspection in industry, a composite
vision system enabling simultaneous 3D-depth and 2D-gray imaging of the bead surface is …
vision system enabling simultaneous 3D-depth and 2D-gray imaging of the bead surface is …
Target detection by target simulation in X-ray testing
D Mery, A Kaminetzky, L Golborne, S Figueroa… - Journal of …, 2022 - Springer
In X-ray testing, the aim is to inspect those inner parts of an object that cannot be detected by
the naked eye. Typical applications are the detection of targets like blow holes in casting …
the naked eye. Typical applications are the detection of targets like blow holes in casting …