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Find neighboring points in descretized space
If input space is descretized and all points fill in N-dimensional cube, this finder returns list of neighboring points for a given distance.
As input points it operates on discretized values, not absolute coordinates (which are e.g. in mm)
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Inherited from Inherited from |
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filter_coord = property(fget= _getFilter, fset= _setFilter)
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elementsize = property(fget= lambda self: self.__elementsize)
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Inherited from |
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Returns coordinates of the neighbors which are within distance from coord XXX radius might need to be not a scalar but a vector of scalars to specify search distance in different dimensions differently... but then may be it has to be a tensor to specify orientation etc? :-) so it might not be necessary for now
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Generated by Epydoc 3.0.1 on Thu Apr 2 18:37:07 2009 | http://epydoc.sourceforge.net |