scholarly journals An Approach to Adaptive Quadratic Structuring Functions Based on the Local Structure Tensor

2015 ◽  
pp. 729-740 ◽  
Author(s):  
Anders Landström
Keyword(s):  
Local Structure ◽  
Structure Tensor

scholarly journals Estimation of Non-Cartesian Local Structure Tensor Fields

2007 ◽  
pp. 948-957 ◽  
Author(s):  
Björn Svensson ◽  
Anders Brun ◽  
Mats Andersson ◽  
Hans Knutsson
Keyword(s):  
Local Structure ◽  
Structure Tensor ◽  
Tensor Fields

scholarly journals Implementation of local structure tensor and enhancement anisotropic diffusion filters in ITK

2010 ◽  
Author(s):  
Andinet Enquobahrie ◽  
Hua Yang ◽  
Stephen Aylward
Keyword(s):  
Finite Difference ◽  
Local Structure ◽  
Anisotropic Diffusion ◽  
Structure Tensor ◽  
Noise Filtering ◽  
Filtering Algorithms ◽  
Anisotropic Diffusion Filters

This paper describes implementation of local structure tensor and anisotropic enhancement diffusion filters using the Insight Toolkit. The anisotropic diffusion filters are implemented using ITK’s finite difference solver framework. The filters are used to implement the 3D edge-enhancing diffusion ( EED), coherence-enhancing diffusion (CED) and hybrid diffusion with continuous switch(HDCS) noise filtering algorithms described in Mendrik et al[1].The most up-to-date version of the code presented in this paper is distributed with the TubeTK project: http://public.kitware.com/Wiki/TubeTK

scholarly journals Multilocal Creaseness Measure

2012 ◽  
Author(s):  
Sergio Vera ◽  
Debora Gil ◽  
Antonio López ◽  
Miguel A. González
Keyword(s):  
Local Structure ◽  
Structure Tensor

This document describes the implementation using the Insight Toolkit of an algorithm for detecting creases (ridges and valleys) in N-dimensional images, based on the Local Structure Tensor of the image. In addition to the filter used to calculate the creaseness image, a filter for the computation of the structure tensor is also included in this submission.

HR-pQCT-based assessment of cortical porosity in primary and secondary bone malignancies by using local structure tensor texture features

Bone ◽  
2011 ◽  
Vol 48 ◽  
pp. S251
Author(s):  
A. Trubrich ◽  
J. Patsch ◽  
A. Valentinitsch ◽  
M. Pretterklieber ◽  
S. Lang ◽  
...  
Keyword(s):  
Local Structure ◽  
Texture Features ◽  
Structure Tensor ◽  
Cortical Porosity
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