X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fimage-1.0.15%2Fimmaximas.m;fp=octave_packages%2Fimage-1.0.15%2Fimmaximas.m;h=0103e258222a967f13cd39b674fa2690f1ffcaf1;hp=0000000000000000000000000000000000000000;hb=c880e8788dfc484bf23ce13fa2787f2c6bca4863;hpb=1705066eceaaea976f010f669ce8e972f3734b05

diff --git a/octave_packages/image-1.0.15/immaximas.m b/octave_packages/image-1.0.15/immaximas.m
new file mode 100644
index 0000000..0103e25
--- /dev/null
+++ b/octave_packages/image-1.0.15/immaximas.m
@@ -0,0 +1,108 @@
+## Copyright (c) 2003-2005 Peter Kovesi
+## School of Computer Science & Software Engineering
+## The University of Western Australia
+## http://www.csse.uwa.edu.au/
+##   
+## Permission is hereby granted, free of charge, to any person obtaining a copy
+## of this software and associated documentation files (the "Software"), to deal
+## in the Software without restriction, subject to the following conditions:
+## 
+## The above copyright notice and this permission notice shall be included in all
+## copies or substantial portions of the Software.
+## 
+## The Software is provided "as is", without warranty of any kind.
+##
+## I've made minor changes compared to the original 'nonmaxsuppts' function developed
+## by Peter Kovesi. The original is available at
+## http://www.csse.uwa.edu.au/~pk/research/matlabfns/Spatial/nonmaxsuppts.m
+##    -- Søren Hauberg, 2008
+
+## -*- texinfo -*-
+## @deftypefn {Function File} {[@var{r}, @var{c}] =} immaximas (@var{im}, @var{radius})
+## @deftypefnx{Function File} {[@var{r}, @var{c}] =} immaximas (@var{im}, @var{radius}, @var{thresh})
+## @deftypefnx{Function File} {[@var{r}, @var{c}, ...] =} immaximas (...)
+## @deftypefnx{Function File} {[..., @var{val}] =} immaximas (...)
+## Finds local spatial maximas of the given image. A local spatial maxima is
+## defined as an image point with a value that is larger than all neighbouring
+## values in a square region of width 2*@var{radius}+1. By default @var{radius}
+## is 1, such that a 3 by 3 neighbourhood is searched. If the @var{thresh} input
+## argument is supplied, only local maximas with a value greater than @var{thresh}
+## are retained.
+## 
+## The output vectors @var{r} and @var{c} contain the row-column coordinates
+## of the local maximas. The actual values are computed to sub-pixel precision
+## by fitting a parabola to the data around the pixel. If @var{im} is 
+## @math{N}-dimensional, then @math{N} vectors will be returned.
+##
+## If @var{im} is @math{N}-dimensional, and @math{N}+1 outputs are requested,
+## then the last output will contain the image values at the maximas. Currently
+## this value is not interpolated.
+##
+## @seealso{ordfilt2, ordfiltn}
+## @end deftypefn
+
+function varargout = immaximas(im, radius, thresh)
+  ## Check input
+  if (nargin == 0)
+    error("immaximas: not enough input arguments");
+  endif
+  if (nargin <= 1 || isempty(radius))
+    radius = 1;
+  endif
+  if (nargin <= 2)
+    thresh = [];
+  endif
+  if (!ismatrix(im))
+    error("immaximas: first input argument must be an array");
+  endif
+  if (!isscalar(radius))
+    error("immaximas: second input argument must be a scalar or an empty matrix");
+  endif
+  if (!isscalar(thresh) && !isempty(thresh))
+    error("immaximas: third input argument must be a scalar or an empty matrix");
+  endif
+  
+  ## Find local maximas
+  nd = ndims(im);
+  s = size(im);
+  sze = 2*radius+1;
+  mx  = ordfiltn(im, sze^nd,   ones(repmat(sze,1, nd), "logical"), "reflect");
+  mx2 = ordfiltn(im, sze^nd-1, ones(repmat(sze,1, nd), "logical"), "reflect");
+
+  # Find maxima, threshold
+  immx = (im == mx) & (im != mx2);
+  if (!isempty(thresh))
+    immx &= (im>thresh);
+  endif
+    
+  ## Find local maximas and fit parabolas locally
+  ind = find(immx);
+  [sub{1:nd}] = ind2sub(s, ind);
+  if (!isempty(ind))
+    w = 1; # Width that we look out on each side of the feature point to fit a local parabola
+    ws = w*cumprod([1; s(:)]);
+    
+    ## We fit a parabola to the points in each dimension
+    for d = 1:nd
+      ## Indices of points above, below, left and right of feature point
+      indminus1 = max(ind-ws(d), 1);
+      indplus1  = min(ind+ws(d), numel(immx));
+
+      ## Solve quadratic
+      c = im(ind);
+      a = (im(indminus1) + im(indplus1))/2 - c;
+      b = a + c - im(indminus1);
+      shift = -w*b./(2*a); # Maxima of quadradic 
+      
+      ## Move point   
+      sub{d} += shift;
+    endfor
+  endif
+  
+  ## Output
+  varargout(1:nd) = sub(1:nd);
+  if (nargout > nd)
+    varargout{nd+1} = im(ind);
+  endif
+endfunction
+