Multilayered Deep Structure Tensor Delaunay Triangulation and Morphing Based Automated Diagnosis and 3D Presentation of Human Macula
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Systems"
DOI: 10.1007/s10916-018-1078-3
Abstract: Maculopathy is the group of diseases that affects central vision of a person and they are often associated with diabetes. Many researchers reported automated diagnosis of maculopathy from optical coherence tomography (OCT) images. However, to… read more here.
Keywords: macula; diagnosis; structure tensor; automated diagnosis ... See more keywords
An adaptive VPDE image denoising model based on structure tensor
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07912-7
Abstract: Image denoising is one of the challenging topics in image processing. Since the formation mechanism of the degraded image is unknown, it is difficult to achieve effective image denoising. Most existing denoising methods are easy… read more here.
Keywords: structure tensor; image; denoising model; image denoising ... See more keywords
Micro-CT based structure tensor analysis of fibre orientation in random fibre composites versus high-fidelity fibre identification methods
Sign Up to like & getrecommendations! Published in 2020 at "Composite Structures"
DOI: 10.1016/j.compstruct.2019.111818
Abstract: Abstract The fibre orientation distribution controls the mechanical properties of random fibre composites. Generally accepted methods for its characterisation involve identification of fibres or their ellipsoidal cross sections as individual objects, requiring high image resolution… read more here.
Keywords: structure tensor; identification; tensor analysis;
On the ideal structure of the tensor product of nearly simple algebras
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Algebra"
DOI: 10.1080/00927872.2019.1710842
Abstract: Abstract We define a unital algebra A over a field to be nearly simple if A contains a unique non-trivial ideal IA such that If A and B are two nearly simple algebras over ,… read more here.
Keywords: simple algebras; nearly simple; structure tensor; tensor product ... See more keywords
Automatic Infrared Ship Target Segmentation Based on Structure Tensor and Maximum Histogram Entropy
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2977690
Abstract: The existing infrared (IR) ship target segmentation methods may suffer serious performance degradation in the situation of diverse background clutters and ship targets. To cope with this problem, a novel ship target segmentation method is… read more here.
Keywords: target segmentation; structure tensor; target; ship target ... See more keywords
Hybrid 2-D–3-D Deep Residual Attentional Network With Structure Tensor Constraints for Spectral Super-Resolution of RGB Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3004934
Abstract: RGB image spectral super-resolution (SSR) is a challenging task due to its serious ill-posedness, which aims at recovering a hyperspectral image (HSI) from a corresponding RGB image. In this article, we propose a novel hybrid… read more here.
Keywords: super resolution; structure; structure tensor; spectral super ... See more keywords
A Unified Pansharpening Method With Structure Tensor Driven Spatial Consistency and Deep Plug-and-Play Priors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3225563
Abstract: Pansharpening is to generate a high-resolution multispectral (HRMS) image by preserving the spectral information from a low-resolution multispectral (LRMS) image and the spatial content from a panchromatic (PAN) image. This article proposes a unified pansharpening… read more here.
Keywords: tensor driven; structure tensor; driven spatial; method ... See more keywords
Multiscale Structure Tensor for Improved Feature Extraction and Image Regularization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2924799
Abstract: Regularization methods are used widely in image selective smoothing and edge preserving restoration of noisy images. Traditional methods utilize image gradients within regularization function for controlling the smoothing and can produce artifacts when noise levels… read more here.
Keywords: regularization; exponent; structure tensor; image ... See more keywords
Directional structure-tensor-based coherence to detect seismic faults and channels
Sign Up to like & getrecommendations! Published in 2017 at "Geophysics"
DOI: 10.1190/geo2016-0473.1
Abstract: ABSTRACTSeismic coherence is widely used in seismic interpretation and reservoir characterization to highlight (with low values) faults and stratigraphic features from a seismic image. A coherence image can be computed from the eigenvalues of conventional… read more here.
Keywords: image; directional structure; coherence; structure tensor ... See more keywords
Three-dimensional structure tensor based PET/CT fusion in gradient domain.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of X-ray science and technology"
DOI: 10.3233/xst-180451
Abstract: Gradient based image fusion can more effectively incorporate edge details using structure tensor, which is successfully used in 2D image fusion. In this study, we generalized and applied this gradient based image fusion method into… read more here.
Keywords: fusion; structure; structure tensor; fusion gradient ... See more keywords