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to_upper_window.hh
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25 
26 #ifndef MLN_CONVERT_TO_UPPER_WINDOW_HH
27 # define MLN_CONVERT_TO_UPPER_WINDOW_HH
28 
34 # include <mln/core/concept/delta_point_site.hh>
35 # include <mln/core/concept/neighborhood.hh>
36 # include <mln/core/window.hh>
37 
38 
39 namespace mln
40 {
41 
42  namespace convert
43  {
44 
46  template <typename W>
47  window<mln_dpsite(W)> to_upper_window(const Window<W>& win);
48 
50  template <typename N>
51  window<mln_dpoint(N)> to_upper_window(const Neighborhood<N>& nbh);
52 
53 
54 # ifndef MLN_INCLUDE_ONLY
55 
56  /* FIXME: According to milena/core/concepts/README, windows are
57  not necessarily based on a set of dpoints. So the current
58  algorithm won't work on non dpoint-set-based windows. In the
59  general case (of windows not being a set of dpoints), the
60  window resulting from this conversion (as well as the iterators
61  based on such windows!) should depend on the initial
62  neighborhood (i.e., delegate the actual iteration to the
63  aggregated neighborhood). When this is fixed, document this in
64  depth in milena/core/concepts/README. */
65  template <typename W>
66  inline
67  window<mln_dpsite(W)> to_upper_window(const Window<W>& win_)
68  {
69  const W& input_win = exact(win_);
70  typedef mln_dpsite(W) D;
71  typedef mln_point(D) P;
72  window<D> win;
73  mln_qiter(W) q(input_win, P::origin);
74  for_all(q)
75  if (q > P::origin)
76  win.insert(q - P::origin);
77  return win;
78  }
79 
80  template <typename N>
81  inline
82  window<mln_dpoint(N)> to_upper_window(const Neighborhood<N>& nbh_)
83  {
84  const N& nbh = exact(nbh_);
85  typedef mln_dpoint(N) D;
86  typedef mln_point(D) P;
87  window<D> win;
88  mln_niter(N) n(nbh, P::origin);
89  for_all(n)
90  if (n > P::origin)
91  win.insert(n - P::origin);
92  return win;
93  }
94 
95 # endif // ! MLN_INCLUDE_ONLY
96 
97  } // end of namespace mln::convert
98 
99 } // end of namespace mln
100 
101 
102 #endif // ! MLN_CONVERT_TO_UPPER_WINDOW_HH