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期刊名:Journal of mathematical imaging and vision

缩写:J MATH IMAGING VIS

ISSN:0924-9907

e-ISSN:1573-7683

IF/分区:1.8/Q2

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共收录本刊相关文章索引39
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
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Matthew Thorpe,Serim Park,Soheil Kolouri et al. Matthew Thorpe et al.
Transport based distances, such as the Wasserstein distance and earth mover'sdistance, have been shown to be an effective tool in signal and image analysis. The success of transport based distances is in part due to their Lagrangian nature ...
Stephen L Keeling,Karl Kunisch Stephen L Keeling
Robust measures are introduced for methods to determine statistically uncorrelated or also statistically independent components spanning data measured in a way that does not permit direct separation of these underlying components. Because o...
Martin Burger,Konstantinos Papafitsoros,Evangelos Papoutsellis et al. Martin Burger et al.
We study a general class of infimal convolution type regularisation functionals suitable for applications in image processing. These functionals incorporate a combination of the total variation seminorm and [Formula: see text] norms. A unif...
R Duits,U Boscain,F Rossi et al. R Duits et al.
To model association fields that underly perceptional organization (gestalt) in psychophysics we consider the problem Pcurve of minimizing [Formula: see text] for a planar curve having fixed initial and final positions and directions. Here ...
Joshua C Chang,Tom Chou Joshua C Chang
Shape-based regularization has proven to be a useful method for delineating objects within noisy images where one has prior knowledge of the shape of the targeted object. When a collection of possible shapes is available, the specification ...
E Ceyhan,M Hosakere,T Nishino et al. E Ceyhan et al.
Neuropsychiatric disorders have been demonstrated to manifest shape differences in cortical structures. Labeled Cortical Distance Mapping (LCDM) is a powerful tool in quantifying such morphometric differences and characterizes the morphomet...
Michael I Miller,Alain Trouvé,Laurent Younes Michael I Miller
Studying large deformations with a Riemannian approach has been an efficient point of view to generate metrics between deformable objects, and to provide accurate, non ambiguous and smooth matchings between images. In this paper, we study t...
Ying Bai,Xiao Han,Jerry L Prince Ying Bai
The theory of digital topology is used in many different image processing and computer graphics algorithms. Most of the existing theories apply to uniform cartesian grids, and they are not readily extensible to new algorithms targeting at a...
Laurent Younes,Anqi Qiu,Raimond L Winslow et al. Laurent Younes et al.
This paper focuses on the issue of translating the relative variation of one shape with respect to another in a template centered representation. The context is the theory of Diffeomorphic Pattern Matching which provides a representation of...