Results 21 to 30 of about 4,434 (214)
PULMONARY EMPHYSEMA ANALYSIS USING SHEARLET BASED TEXTURES AND RADIAL BASIS FUNCTION NETWORK
International Journal of Advances in Signal and Image Sciences, 2020 The emergence of High Resolution Computed Tomography (HRCT) images of the lungs clearly shows the parenchymal lung architecture and thus the quantification of obstructive lung disease becomes most accurate.
Wogderes Semunigus
doaj +1 more source
Advanced Intelligent Systems, Volume 5, Issue 11, November 2023., 2023 Expectation‐maximization algorithm generative adversarial network (EMA‐GAN) is proposed to fuse images from different modalities. This is an EM learning framework based on GAN that maximizes the likelihood of fused results and estimates potential variables.
Xiuliang Xi +5 more
wiley +1 more source
Edge detection with trigonometric polynomial shearlets [PDF]
Advances in Computational Mathematics, 2019 In this paper, we show that certain trigonometric polynomial shearlets which are special cases of directional de la Vallée Poussin-type wavelets are able to detect step discontinuities along boundary curves of periodic characteristic functions. Motivated
Kevin Schober +2 more
semanticscholar +1 more source
Abstract Shearlet Transform [PDF]
Bulletin of the Belgian Mathematical Society - Simon Stevin, 2015 In this paper, the shearlet theory is extended from Euclidean spaces to locally compact groups. More precisely, the abstract shearlet group is defined as a 3-fold semidirect product and the abstract shearlet transform is constructed by means of a quasiregular representation of the semidirect product group.
Kamyabi-Gol, R.A., Atayi, V.
openaire +3 more sources
Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey
CAAI Transactions on Intelligence Technology, Volume 8, Issue 3, Page 581-606, September 2023., 2023 Abstract Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting new knowledge. By using DL, the extraction of advanced data representations and knowledge can be made possible. Highly effective DL techniques help to find more hidden knowledge.
Mehdi Gheisari +10 more
wiley +1 more source
Different Faces of the Shearlet Group [PDF]
The Journal of Geometric Analysis, 2015 Recently, shearlet groups have received much attention in connection with shearlet transforms applied for orientation sensitive image analysis and restoration. The square integrable representations of the shearlet groups provide not only the basis for the shearlet transforms but also for a very natural definition of scales of smoothness spaces, called ...
Dahlke, Stephan +5 more
openaire +4 more sources
River boundary detection and autonomous cruise for unmanned surface vehicles
IET Image Processing, Volume 17, Issue 11, Page 3196-3215, 18 September 2023., 2023 The detection of river boundaries is important for judging the drivable area of USVs, and it can also be utilized to ensure driving safety by limiting the effective drivable areas of the USVs in the river areas. This work proposes a real‐time detection method for river boundaries based on a LiDAR sensor to detect the boundaries of incompletely ...
Kai Zhang +5 more
wiley +1 more source
Compactly Supported Shearlets [PDF]
, 2011 24 pages, 7 figures, Conference Proceeding: Approximation Theory XIII (San Antonio, TX, 2010), Springer (to appear)
Gitta Kutyniok, Jakob Lemvig, Wang-Q Lim
openaire +3 more sources
Inhomogeneous shearlet coorbit spaces [PDF]
International Journal of Wavelets, Multiresolution and Information Processing, 2018 In this paper, we establish inhomogeneous coorbit spaces related to the continuous shearlet transform and the weighted Lebesgue spaces [Formula: see text] for certain weights [Formula: see text]. We present an inhomogeneous shearlet frame for [Formula: see text] which gives rise to a reproducing kernel [Formula: see text] that is not contained in the ...
Fabian Feise, Lukas Sawatzki
openaire +3 more sources
Embeddings of anisotropic Besov spaces into Sobolev spaces
Mathematische Nachrichten, Volume 296, Issue 4, Page 1380-1393, April 2023., 2023 Abstract We study the embeddings of (homogeneous and inhomogeneous) anisotropic Besov spaces associated to an expansive matrix A into Sobolev spaces, with a focus on the influence of A on the embedding behavior. For a large range of parameters, we derive sharp characterizations of embeddings.
David Bartusel, Hartmut Führ
wiley +1 more source