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2D Euclidean distance transform algorithms: a comparative survey
(Association Computing MachineryNew York, 2008-02)
The distance transform (DT) is a general operator forming the basis of many methods in computer vision and geometry, with great potential for practical applications. However, all the optimal algorithms for the computation ...
A high performance 3D exact euclidean distance transform algorithm for distributed computing
(World Scientific PublishingSingapore, 2010-09)
The Euclidean distance transform (EDT) is used in various methods in pattern recognition, computer vision, image analysis, physics, applied mathematics and robotics. Until now, several sequential EDT algorithms have been ...
Discrete 2D and 3D euclidean medial axis in higher resolution
(Elsevier Science BvAmsterdamHolanda, 2009)
User Identification and Verification from a Pair of Simultaneous EEG Channels Using Transform Based Features
In this study, the approach of combined features from two simultaneous Electroencephalogram (EEG) channels when a user is performing a certain mental task is discussed to increase the discrimination degree among subject ...
Euclidean Distance Distortion Based Robust and Blind Mesh Watermarking
The three-dimensional (3D) polygonal meshes are recently widely used in several domains, which necessitate the realistic visualization of the objects. Moreover, there is an urgent need to protect the 3D data properties for ...
An Algorithm For Realizing Euclidean Distance Matrices
(Elsevier, 2015)
Fast and accurate computation of the Euclidean distance transform in medical imaging analysis software
(Biomédica, Mecatrónica y MecánicaEscuela de Ingeniería de Antioquia EIAUniversidad CES, 2014-04-20)
Fast and accurate computation of the Euclidean distance map transformation is presented using the python programming language in conjunction with the vtk and itk toolkits. Two algorithms are compared on the basis of their ...
Multiscale skeletons by image foresting transform and its application to neuromorphometry
(Pergamon-elsevier Science LtdOxfordInglaterra, 2002)