Artikel
Open Access
Tracking sub-atomic particles through the Attribute Space
-
M. Babai
Veröffentlicht/Copyright:
27. April 2016
Received: 2015-7-3
Accepted: 2016-2-11
Published Online: 2016-4-27
© 2016 M. Babai et al.
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- Effcient and Effective Automated Digital Hair Removal from Dermoscopy Images
- Generalized Morphology using Sponges
- N-ary Mathematical Morphology
- Improved Part-Based Segmentation of Voxel Shapes by Skeleton Cut Spaces
- Defining and computing Hausdorff distances between distributions on the real line and on the circle: link between optimal transport and morphological dilations
- Statistical attribute filtering to detect faint extended astronomical sources
- Cluster Based Vector Attribute Filtering
- Quantile Filtering of Colour Images via Symmetric Matrices
- Tracking sub-atomic particles through the Attribute Space
- Efficient Computation of Greyscale Path Openings
- Local 2D Pattern Spectra as Connected Region Descriptors
- Morphological probabilistic hierarchies for texture segmentation
Schlagwörter für diesen Artikel
attribute space connectivity;
orientation based segmentation;
irregular graph morphology;
graph
morphology;
sub-atomic particle tracking;
Straw Tube Tracker (STT)
Creative Commons
BY-NC-ND 3.0
Artikel in diesem Heft
- Effcient and Effective Automated Digital Hair Removal from Dermoscopy Images
- Generalized Morphology using Sponges
- N-ary Mathematical Morphology
- Improved Part-Based Segmentation of Voxel Shapes by Skeleton Cut Spaces
- Defining and computing Hausdorff distances between distributions on the real line and on the circle: link between optimal transport and morphological dilations
- Statistical attribute filtering to detect faint extended astronomical sources
- Cluster Based Vector Attribute Filtering
- Quantile Filtering of Colour Images via Symmetric Matrices
- Tracking sub-atomic particles through the Attribute Space
- Efficient Computation of Greyscale Path Openings
- Local 2D Pattern Spectra as Connected Region Descriptors
- Morphological probabilistic hierarchies for texture segmentation
