Results 211 to 220 of about 466,071 (297)

Color Space

The Journal of The Institute of Image Information and Television Engineers, 2011
openaire   +3 more sources

Multi-source forgery detection method based on the fusion of color space features and frequency domain features

网络与信息安全学报
With the rapid development of artificial intelligence technology, image forgery techniques have become increasingly complex and covert, particularly in the areas of generative and image editing forgeries.
Hou Yifan, Miao Zhuang, Wang Jun, Zhang Qi, Li Yang, Wang Jiabao   +5 more
doaj  

CropGCNN: color space-based crop disease classification using group convolutional neural network. [PDF]

PeerJ Comput Sci
Ahmad N, Singh S, AlAjmi MF, Hussain A, Raza K.   +4 more
europepmc   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Opponent Color Space Motivated by Retinal Processing

We introduce a new opponent color space, which aims to mimic the color processing in the primate retina. Recent data from physiology and morphology are used to determine the model and its parameters.
Borer, Silvio, Süsstrunk, Sabine
core  

Quantitative investigation of a 3D bubble trapper in a high shear stress microfluidic chip using computational fluid dynamics and L*A*B* color space. [PDF]

Biomed Microdevices
Boonsiri W, Aung HH, Aswakool J, Santironnarong S, Pothipan P, Phatthanakun R, Chancharoen W, Moonwiriyakit A.   +7 more
europepmc   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Comparative Analysis of Color Space and Channel, Detector, and Descriptor for Feature-Based Image Registration. [PDF]

J Imaging
Yuan W, Poosa SRP, Dirks RF.
europepmc   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

Advanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai, Zeki Ayrildi, Buse Şen, Maik Rajkowski, Mathias Redondo Garcia, Markus Stricker, Guillaume Laplanche   +6 more
wiley   +1 more source