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Sequential euclidean distance transforms

Known as: SEDT, Sequential duclidean distance transforms 
In the field of computer graphics, Sequential Euclidean Distance Transforms (SEDT) are a special kind of distance transforms based on the Euclidean… 
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Papers overview

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2017
2017
Deep neural networks for machine comprehension typically utilizes only word or character embeddings without explicitly taking… 
2016
2016
Based on the cooperative measurement of new congestion metric instead of drop ratio and round-trip time, a new cooperative… 
2008
2008
  • D. Coeurjolly
  • International Conference on Pattern Recognition
  • 2008
  • Corpus ID: 215813032
In this paper, we present optimal in time algorithms to compute the distance transform, the reverse distance transform and the… 
2008
2008
Objective To construct two types of Wnt-inducible secreted protein 3(WISP3)gene's mutants(1000T/C,840delT)found in… 
2007
2007
Full-length chloride intracellular channel protein 1 (CLIC1) is a member of the family of proteins related to bovine chloride… 
Highly Cited
2005
Highly Cited
2005
2003
2003
Medial Axis (MA), also known as Centres of Maximal Disks, is a useful representation of a shape for image description and… 
1996
1996
We present a parallel algorithm for the Euclidean distance transformation (EDT). It is a “divide-and-conquer” algorithm based on… 
1995
1995
  • R. RaoR. Mersereau
  • Proceedings., International Conference on Image…
  • 1995
  • Corpus ID: 8253479
Hidden Markov modeling has proven extremely useful for statistical analysis of speech signals. There are, however, inherent… 
Highly Cited
1992
Highly Cited
1992