view scripts/image/image.m @ 18860:87c3848cf3c0

Fix bug when hggroup used with primitive graphic object (bug #42532). * image.m, text.m, line.m, patch.m: __plt_get_axis_arg__ will return axis and hggroup when 'parent' property is used. Select the first returned object which is the axes, rather than passing both axis and hggroup to further plot subroutines.
author Rik <rik@octave.org>
date Tue, 10 Jun 2014 14:03:09 -0700
parents 44f0d1a53ead
children 3d9e503aea2c
line wrap: on
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## Copyright (C) 1994-2013 John W. Eaton
##
## This file is part of Octave.
##
## Octave is free software; you can redistribute it and/or modify it
## under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 3 of the License, or (at
## your option) any later version.
##
## Octave is distributed in the hope that it will be useful, but
## WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
## General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with Octave; see the file COPYING.  If not, see
## <http://www.gnu.org/licenses/>.

## -*- texinfo -*-
## @deftypefn  {Function File} {} image (@var{img})
## @deftypefnx {Function File} {} image (@var{x}, @var{y}, @var{img})
## @deftypefnx {Function File} {} image (@dots{}, "@var{prop}", @var{val}, @dots{})
## @deftypefnx {Function File} {} image ("@var{prop1}", @var{val1}, @dots{})
## @deftypefnx {Function File} {@var{h} =} image (@dots{})
## Display a matrix as an indexed color image.
##
## The elements of @var{img} are indices into the current colormap.
## @var{x} and @var{y} are optional 2-element vectors, @w{@code{[min, max]}},
## which specify the range for the axis labels.  If a range is specified as
## @w{@code{[max, min]}} then the image will be reversed along that axis.  For
## convenience, @var{x} and @var{y} may be specified as N-element vectors
## matching the length of the data in @var{img}.  However, only the first and
## last elements will be used to determine the axis limits.
## @strong{Warning:} @var{x} and @var{y} are ignored when using gnuplot 4.0
## or earlier.
##
## Multiple property/value pairs may be specified for the image object, but
## they must appear in pairs.
##
## The optional return value @var{h} is a graphics handle to the image.
##
## Implementation Note: The origin (0, 0) for images is located in the
## upper left.  For ordinary plots, the origin is located in the lower
## left.  Octave handles this inversion by plotting the data normally,
## and then reversing the direction of the y-axis by setting the
## @code{ydir} property to @qcode{"reverse"}.  This has implications whenever
## an image and an ordinary plot need to be overlaid.  The recommended
## solution is to display the image and then plot the reversed ydata
## using, for example, @code{flipud (ydata)}.
##
## Calling Forms: The @code{image} function can be called in two forms:
## High-Level and Low-Level.  When invoked with normal options, the High-Level
## form is used which first calls @code{newplot} to prepare the graphic figure
## and axes.  When the only inputs to @code{image} are property/value pairs
## the Low-Level form is used which creates a new instance of an image object
## and inserts it in the current axes.
## @seealso{imshow, imagesc, colormap}
## @end deftypefn

## Author: Tony Richardson <arichard@stark.cc.oh.us>
## Created: July 1994
## Adapted-By: jwe

function h = image (varargin)

  [hax, varargin, nargin] = __plt_get_axis_arg__ ("image", varargin{:});
  
  chararg = find (cellfun ("isclass", varargin, "char"), 1, "first");
  
  do_new = true;
  if (nargin == 0)
    img = imread ("default.img");
    x = y = [];
  elseif (chararg == 1) 
    ## Low-Level syntax
    do_new = false;
    x = y = img = [];
    idx = find (strcmpi (varargin, "cdata"), 1);
    if (idx)
      img = varargin{idx+1};
      varargin(idx:idx+1) = [];
    endif
    idx = find (strcmpi (varargin, "xdata"), 1);
    if (idx)
      x = varargin{idx+1};
      varargin(idx:idx+1) = [];
    endif
    idx = find (strcmpi (varargin, "ydata"), 1);
    if (idx)
      y = varargin{idx+1};
      varargin(idx:idx+1) = [];
    endif
  elseif (nargin == 1 || chararg == 2)
    img = varargin{1};
    x = y = [];
  elseif (nargin == 2 || chararg == 3)
    print_usage ();
  else
    x = varargin{1};
    y = varargin{2};
    img = varargin{3};
    chararg = 4;
  endif

  oldfig = [];
  if (! isempty (hax))
    oldfig = get (0, "currentfigure");
  endif
  unwind_protect
    if (do_new)
      hax = newplot (hax);
    elseif (isempty (hax))
      hax = gca ();
    else
      hax = hax(1);
    endif

    htmp = __img__ (hax, do_new, x, y, img, varargin{chararg:end});

  unwind_protect_cleanup
    if (! isempty (oldfig))
      set (0, "currentfigure", oldfig);
    endif
  end_unwind_protect

  if (nargout > 0)
    h = htmp;
  endif

endfunction

## Generic image creation.
##
## The axis values corresponding to the matrix elements are specified in
## @var{x} and @var{y}.  If you're not using gnuplot 4.2 or later, these
## variables are ignored.

## Author: Tony Richardson <arichard@stark.cc.oh.us>
## Created: July 1994
## Adapted-By: jwe

function h = __img__ (hax, do_new, x, y, img, varargin)

  if (! isempty (img))

    if (isempty (x))
      x = [1, columns(img)];
    endif

    if (isempty (y))
      y = [1, rows(img)];
    endif

    xdata = x([1, end])(:).';  # (:).' is a hack to guarantee row vector
    ydata = y([1, end])(:).';

    if (numel (x) > 2 && numel (y) > 2)
      ## Test data for non-linear spacing which is unsupported
      tol = .01;  # 1% tolerance.  FIXME: this value was chosen without thought.
      dx = diff (x);
      dxmean = (max (x) - min (x)) / (numel (x) - 1);
      dx = abs ((abs (dx) - dxmean) / dxmean);
      dy = diff (y);
      dymean = (max (y) - min (y)) / (numel (y) - 1);
      dy = abs ((abs (dy) - dymean) / dymean);
      if (any (dx > tol) || any (dy > tol))
        warning (["image: non-linear X, Y data is ignored.  " ...
                  "IMG will be shown with linear mapping"]);
      endif
    endif

  endif  # ! isempty (img)

  h = __go_image__ (hax, "cdata", img, "xdata", xdata, "ydata", ydata,
                         "cdatamapping", "direct", varargin{:});

  if (do_new && ! ishold (hax))
    ## Set axis properties for new images

    if (! isempty (img))
      if (isscalar (get (hax, "children")))
        axis (hax, "tight");
      endif

      if (ndims (img) == 3)
        if (isinteger (img))
          cls = class (img);
          mn = intmin (cls);
          mx = intmax (cls);
          set (hax, "clim", double ([mn, mx]));
        endif
      endif

    endif  # ! isempty (img)

    set (hax, "view", [0, 90], "ydir", "reverse", "layer", "top");

  endif  # do_new

endfunction


%!demo
%! clf;
%! colormap (jet (21));
%! img = 1 ./ hilb (11);
%! x = y = -5:5;
%! subplot (2,2,1);
%!  h = image (x, y, img);
%!  ylabel ("limits = [-5.5, 5.5]");
%!  title ("image (x, y, img)");
%! subplot (2,2,2);
%!  h = image (-x, y, img);
%!  title ("image (-x, y, img)");
%! subplot (2,2,3);
%!  h = image (x, -y, img);
%!  title ("image (x, -y, img)");
%!  ylabel ("limits = [-5.5, 5.5]");
%! subplot (2,2,4);
%!  h = image (-x, -y, img);
%!  title ("image (-x, -y, img)");

## FIXME: Need %!tests for linear