I have done a better (faster and more general) implementation
of Euclidean and other distance transforms than what is currently
available in the form of __bwdist() in Octave. It's unencumbered
and free to release under the GPL.

If you add me to the list of developers, I would be glad to
contribute the code as soon as I have read up on how to
do proper Octave functions. Right now, it's still wrapped
up in a MEX file, because I already knew how to do that.
My MEX file is already about twice as fast as the existing bwdist(),
it can be extended to support more than the Euclidean distance,
and it can return the full array of output values which the Matlab
version of the function does, i.e. you can get not only the distance
but also the index of the closest feature pixel.

My username on SourceForge is "stegu". Thank you!

  Stefan Gustavson,
  Linköping University, Sweden

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