Ahmadreza Baghaie, Zeyun Yu, Structure tensor based image interpolation method, AEU - International Journal of Electronics and Communications, Volume 69, Issue 2, February 2015, Pages 515-522, ISSN 1434-8411.A. Baghaie and Z. Yu, "Structure tensor based image interpolation method," AEU-...
Kovacˇevic´, "SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularization," in Proc. IEEE GRSS Workshop Hyperspectral Image Signal Process., Evol. Remote Sens. (WHISPERS), Jun. 2015, pp. 1-4....
We present a novel structure tensor for matrix-valued images. It allows for user defined parameters that add flexibility to a number of image processing algorithms for the segmentation and smoothing of tensor fields. We provide a thorough theoretical derivation of the new structure tensor, including...
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1.1. A novel dense descriptor based on structure tensor voting Structure tensor represents the magnitude and orientation information of the edges of an image.20 Though the magnitude of the edges can be changed because of contrast variation, the orientation remains the same if the illumination or co...
The details of structural MRI processing are described in the following subsections: removal of non-brain tissue by an improved hybrid watershed/surface deformation65; automated Talairach transformation; tissue segmentation of the subcortical white matter, the cerebrospinal fluid and deep GM; image intens...
Diffusion tensor imaging (DTI)7 is the most common such method, in which a tensor is fitted to the diffusion signal at every brain voxel. For voxels containing a single fiber population, this provides a suitable estimation of its primary orientation, but the method is incapable of properly ...
3.4 Texture and structure aware filtering network Network design Once the structure and texture guidance are generated, the texture and structure aware filtering network (TSAFN) concatenates them with the input to form a 5-channel tensor. TSAFN consists of 4 layers. We set a relatively large ...
Eddy-Axis Tensor Model FollowingReynolds et al. (2000), the eddy-axis tensor,a¡j. is computed on the analysis frame, where the turbulence might be at equilibrium or very close to it. The eddy-axis tensor is computed with no reference to the frame rotation, as it is only kinematically...
et al. Mriqc: advancing the automatic prediction of image quality in mri from unseen sites. PloS One 12, e0184661 (2017). Article PubMed PubMed Central CAS Google Scholar Roalf, D. R. et al. The impact of quality assurance assessment on diffusion tensor imaging outcomes in a large-...