Squashed 'third_party/cimg/' content from commit 4b66369

Change-Id: I7454d9107a08dba899fd4659731733049165ae0a
git-subtree-dir: third_party/cimg
git-subtree-split: 4b66369ab4e34a46119d6c43e9adce061bb40f4b
diff --git a/examples/mcf_levelsets2d.cpp b/examples/mcf_levelsets2d.cpp
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+/*
+ #
+ #  File        : mcf_levelsets2d.cpp
+ #                ( C++ source file )
+ #
+ #  Description : Implementation of the Mean Curvature Flow on a 2D curve,
+ #                using the framework of Level Sets.
+ #                This file is a part of the CImg Library project.
+ #                ( http://cimg.eu )
+ #
+ #  Copyright   : David Tschumperle
+ #                ( http://tschumperle.users.greyc.fr/ )
+ #
+ #  License     : CeCILL v2.0
+ #                ( http://www.cecill.info/licences/Licence_CeCILL_V2-en.html )
+ #
+ #  This software is governed by the CeCILL  license under French law and
+ #  abiding by the rules of distribution of free software.  You can  use,
+ #  modify and/ or redistribute the software under the terms of the CeCILL
+ #  license as circulated by CEA, CNRS and INRIA at the following URL
+ #  "http://www.cecill.info".
+ #
+ #  As a counterpart to the access to the source code and  rights to copy,
+ #  modify and redistribute granted by the license, users are provided only
+ #  with a limited warranty  and the software's author,  the holder of the
+ #  economic rights,  and the successive licensors  have only  limited
+ #  liability.
+ #
+ #  In this respect, the user's attention is drawn to the risks associated
+ #  with loading,  using,  modifying and/or developing or reproducing the
+ #  software by the user in light of its specific status of free software,
+ #  that may mean  that it is complicated to manipulate,  and  that  also
+ #  therefore means  that it is reserved for developers  and  experienced
+ #  professionals having in-depth computer knowledge. Users are therefore
+ #  encouraged to load and test the software's suitability as regards their
+ #  requirements in conditions enabling the security of their systems and/or
+ #  data to be ensured and,  more generally, to use and operate it in the
+ #  same conditions as regards security.
+ #
+ #  The fact that you are presently reading this means that you have had
+ #  knowledge of the CeCILL license and that you accept its terms.
+ #
+*/
+
+#include "CImg.h"
+using namespace cimg_library;
+#undef min
+#undef max
+
+// Retrieve the curve corresponding to the zero level set of the distance function.
+template<typename T>
+CImg<unsigned char> get_level0(const CImg<T>& img) {
+  CImg<unsigned char> dest(img);
+  CImg_2x2(I,T); Inn = 0;
+  cimg_for2x2(img,x,y,0,0,I,T) if (Icc*Inc<0 || Icc*Icn<0) dest(x,y) = 255; else dest(x,y) = Icc<0?100:0;
+  return dest;
+}
+
+/*--------------------
+
+   Main procedure
+
+----------------------*/
+int main(int argc,char **argv) {
+  cimg_usage("Perform a Mean Curvature Flow on closed curves, using Level Sets");
+  const float dt = cimg_option("-dt",0.8f,"PDE time step");
+  const unsigned int nb_iterations = cimg_option("-iter",10000,"Number of iterations");
+
+  // Create a user-defined closed curve.
+  CImg<unsigned char> curve(256,256,1,2,0);
+  unsigned char col1[] = {0,255}, col2[] = {200,255}, col3[] = {255,255};
+  curve.draw_grid(20,20,0,0,false,false,col1,0.4f,0xCCCCCCCC,0xCCCCCCCC).
+    draw_text(5,5,"Please draw your curve\nin this window\n(Use your mouse)",col1);
+  CImgDisplay disp(curve,"Mean curvature flow",0);
+  int xo = -1, yo = -1, x0 = -1, y0 = -1, x1 = -1, y1 = -1;
+  while (!disp.is_closed() && (x0<0 || disp.button())) {
+    if (disp.button() && disp.mouse_x()>=0 && disp.mouse_y()>=0) {
+      if (x0<0) { xo = x0 = disp.mouse_x(); yo = y0 = disp.mouse_y(); } else {
+        x1 = disp.mouse_x(); y1 = disp.mouse_y();
+        curve.draw_line(x0,y0,x1,y1,col2).display(disp);
+        x0 = x1; y0 = y1;
+      }
+    }
+    disp.wait();
+    if (disp.is_resized()) disp.resize(disp);
+  }
+  curve.draw_line(x1,y1,xo,yo,col2).channel(0).draw_fill(0,0,col3);
+  CImg<> img = CImg<>(curve.get_shared_channel(0)).normalize(-1,1);
+
+  // Perform the "Mean Curvature Flow".
+  img.distance_eikonal(10);
+  CImg_3x3(I,float);
+  for (unsigned int iteration = 0; iteration<nb_iterations && !disp.is_closed() &&
+         !disp.is_keyQ() && !disp.is_keyESC(); ++iteration) {
+    CImg<float> velocity(img.width(),img.height(),img.depth(),img.spectrum());
+    float *ptrd = velocity.data(), veloc_max = 0;
+    cimg_for3x3(img,x,y,0,0,I,float) {
+      const float
+        ix = (Inc - Ipc)/2,
+        iy = (Icn - Icp)/2,
+        ixx = Inc + Ipc - 2*Icc,
+        iyy = Icn + Icp - 2*Icc,
+        ixy = (Ipp + Inn - Inp - Ipn)/4,
+        ngrad = ix*ix + iy*iy,
+        iee = (ngrad>1e-5)?((iy*iy*ixx - 2*ix*iy*ixy + ix*ix*iyy)/ngrad):0;
+      *(ptrd++) = iee;
+      if (iee>veloc_max) veloc_max = iee; else if (-iee>veloc_max) veloc_max = -iee;
+    }
+    if (veloc_max>0) img+=(velocity*=dt/veloc_max);
+    if (!(iteration%10)) {
+      get_level0(img).resize(disp.width(),disp.height()).
+        draw_grid(20,20,0,0,false,false,col3,0.4f,0xCCCCCCCC,0xCCCCCCCC).
+        draw_text(5,5,"Iteration %d",col3,0,1,13,iteration).display(disp);
+    }
+    if (!(iteration%60)) img.distance_eikonal(1,3);
+    if (disp.is_resized()) disp.resize();
+  }
+
+  return 0;
+}