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ImageND(3)		       User Contributed Perl Documentation		       ImageND(3)

       PDL::ImageND - useful image processing routines which work in N-dimensions

       In some cases (though not as many as one would like) it is possible to write general rou-
       tines that operate on N-dimensional objects.

       An example in this module is a N-Dim convolution algorithm I made up one day - it works
       but the boundary condtions are a bit funny.

	use PDL::ImageND;


	 Signature: (a(m); b(n); int adims(p); int bdims(q); [o]c(m))

       N-dimensional convolution algorithm.

       $new = convolve $a, $kernel

       Convolve an array with a kernel, both of which are N-dimensional.

       Note because of the algorithm used (writing N-dim routines is not easy on the brain!) the
       boundary conditions are a bit strange. They wrap, but up to the NEXT row/col-
       umn/cube-slice/etc. If this is a problem consider using zero-padding or something.


       N-dimensional interpolation routine

	Signature: ninterpol(point(),data(n),[o]value())

	     $value = ninterpol($point, $data);

       "ninterpol" uses "interpol" to find a linearly interpolated value in N dimensions, assum-
       ing the data is spread on a uniform grid.  To use an arbitrary grid distribution, need to
       find the grid-space point from the indexing scheme, then call "ninterpol" -- this is far
       from trivial (and ill-defined in general).


	 Signature: (a(m); [o]b(n); int ns => n)

       N-dimensional rebinning algorithm

       $new = rebin $a, $dim1, $dim2,..;.  $new = rebin $a, $template; $new = rebin $a, $tem-
       plate, {Norm => 1};

       Rebin an N-dimensional array to newly specified dimensions.  Specifying `Norm' keeps the
       sum constant, otherwise the intensities are kept constant.  If more template dimensions
       are given than for the input pdl, these dimensions are created; if less, the final dimen-
       sions are maintained as they were.

       So if $a is a 10 x 10 pdl, then "rebin($a,15)" is a 15 x 10 pdl, while
       "rebin($a,15,16,17)" is a 15 x 16 x 17 pdl (where the values along the final dimension are
       all identical).


       Calculates the circular mean of an n-dim image and returns the projection. Optionally
       takes the center to be used.

	  $cmean=circ_mean_p($im,{Center => [10,10]});


       Smooths an image by applying circular mean.  Optionally takes the center to be used.

	  circ_mean($im,{Center => [10,10]});

       Copyright (C) Karl Glazebrook 1997.  All rights reserved. There is no warranty. You are
       allowed to redistribute this software / documentation under certain conditions. For
       details, see the file COPYING in the PDL distribution. If this file is separated from the
       PDL distribution, the copyright notice should be included in the file.

perl v5.8.0				    2003-01-29				       ImageND(3)
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