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coastline_gen.cpp
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coastline_gen.cpp
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/* ========================================================================
File: @(#)coastline_gen.cpp
------------------------------------------------------------------------
coastline_gen simple coastline generalization
Copyright (C) 2012-2013 Christoph Hormann <chris_hormann@gmx.de>
------------------------------------------------------------------------
This file is part of coastline_gen
coastline_gen 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.
coastline_gen 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 coastline_gen. If not, see <http://www.gnu.org/licenses/>.
Version history:
0.3: initial public version, February 2013
0.4: internal, unpublished
0.5: adding connection and collapse mask support, August 2013
========================================================================
*/
const char PROGRAM_TITLE[] = "coastline_gen version 0.5";
#include <cstdlib>
#include <algorithm>
#include <stack>
#define cimg_plugin "CImg_skeleton.h"
#define cimg_use_tiff 1
#define cimg_use_png 1
#define cimg_display 0
#include "skeleton.h"
#include "CImg.h"
using namespace cimg_library;
int main(int argc,char **argv)
{
std::fprintf(stderr,"%s\n", PROGRAM_TITLE);
std::fprintf(stderr,"-------------------------------------------------------\n");
std::fprintf(stderr,"Copyright (C) 2012-2013 Christoph Hormann\n");
std::fprintf(stderr,"This program comes with ABSOLUTELY NO WARRANTY;\n");
std::fprintf(stderr,"This is free software, and you are welcome to redistribute\n");
std::fprintf(stderr,"it under certain conditions; see COPYING for details.\n");
cimg_usage("Usage: coastline_gen [options]");
// --- Read command line parameters ---
// Files
const char *file_o = cimg_option("-o",(char*)NULL,"output mask file");
const char *file_i = cimg_option("-i",(char*)NULL,"input mask file");
const char *file_f = cimg_option("-f",(char*)NULL,"fixed mask file");
const char *file_c = cimg_option("-c",(char*)NULL,"collapse mask file");
const float Level = cimg_option("-l",0.5,"threshold level");
const float SLevel = cimg_option("-ls",0.5,"small feature threshold level");
const float ILevel = cimg_option("-il",0.06,"island threshold level");
const int FS = cimg_option("-sf",1,"fixed mask sign (1=repel, -1=attract)");
const int FR = cimg_option("-rf",2,"fixed mask buffer radius");
const bool NGConnected = cimg_option("-ngc",false,"do not generalize connected pixels");
const int FConRad = cimg_option("-fgr",0,"fixed gap connection radius");
const bool XCon = cimg_option("-xc",false,"extend connections");
float Radius[8];
const char *rad_string = cimg_option("-r","4.0:2.5:1.0:0.5:1.0:0.0:0.0","generalization radius (normal:feature:min_water:min_land:island:collapse:collapse_mask:collapse_mask2)");
int rc = std::sscanf(rad_string,"%f:%f:%f:%f:%f:%f:%f:%f",&Radius[0],&Radius[1],&Radius[2],&Radius[3],&Radius[4],&Radius[5],&Radius[6],&Radius[7]);
if (rc < 8) Radius[7] = 0.0;
if (rc < 7) Radius[6] = 0.0;
if (rc < 6) Radius[5] = 0.0;
if (Radius[6] <= 0.0) Radius[7] = 0.0;
int IThr[4];
const char *is_string = cimg_option("-is","8:16:36:120","island size thresholds (skip:connect:expand:max)");
std::sscanf(is_string,"%d:%d:%d:%d",&IThr[0],&IThr[1],&IThr[2],&IThr[3]);
const bool Debug = cimg_option("-debug",false,"generate debug output");
const bool helpflag = cimg_option("-h",false,"Display this help");
if (helpflag) std::exit(0);
if ((file_i == NULL) || (file_o == NULL))
{
std::fprintf(stderr,"You must specify input and output mask images files (try '%s -h').\n\n",argv[0]);
std::exit(1);
}
CImg<unsigned char> img_m;
CImg<unsigned char> img_co;
CImg<unsigned char> img_l;
CImg<unsigned char> img_sl;
CImg<unsigned char> img_sw;
CImg<unsigned char> img_b;
CImg<unsigned char> img_d;
CImg<unsigned char> img_f;
CImg<int> img_c;
std::fprintf(stderr,"Loading mask data...\n");
img_m = CImg<unsigned char>(file_i);
if (file_c != NULL)
{
std::fprintf(stderr,"Loading collapse mask data...\n");
img_co = CImg<unsigned char>(file_c);
}
if (file_f != NULL)
{
std::fprintf(stderr,"Loading fixed mask data...\n");
img_f = CImg<unsigned char>(file_f);
if ((img_f.width() != img_m.width()) || (img_f.height() != img_m.height()))
{
std::fprintf(stderr,"input (-i) and fixed mask (-f) images need to be the same size.\n\n");
std::exit(1);
}
std::fprintf(stderr,"Preprocessing fixed mask data...\n");
// repel
if (FS > 0)
{
CImg<unsigned char> morph_mask(FR*2 + 1, FR*2 + 1, 1, 1);
cimg_forXY(morph_mask,px,py)
{
int dx = px-(morph_mask.width()/2);
int dy = py-(morph_mask.height()/2);
if (std::sqrt(dx*dx+dy*dy) <= FR)
morph_mask(px,py) = 255;
else
morph_mask(px,py) = 0;
}
int cnte = 0;
int cnte2 = 0;
int cnte3 = 0;
int cnte4 = 0;
CImg<unsigned char> img_e = CImg<unsigned char>(img_m.width(), img_m.height(), 1, 1);
cimg_forXY(img_e,px,py)
img_e(px,py) = 0;
// expand connected areas
if (NGConnected && (FConRad == 0))
{
cimg_forXY(img_m,px,py)
{
if (img_m(px,py) == 255)
{
img_e(px,py) = 255;
for (int i = 1; i < 9; i++)
{
int xn = px + xo[i];
int yn = py + yo[i];
if (xn >= 0)
if (yn >= 0)
if (xn < img_m.width())
if (yn < img_m.height())
if (img_f(xn,yn) == 0)
if (img_m(xn,yn) != 255)
{
img_e(xn,yn) = 128;
cnte++;
}
}
}
}
}
// fix connections to fixed areas
if (FConRad > 0)
{
cimg_forXY(img_m,px,py)
{
if (img_m(px,py) == 255)
if (img_f(px,py) == 0)
if (img_e(px,py) == 0)
{
for (int i = 1; i < 9; i++)
{
int xn = px + xo[i];
int yn = py + yo[i];
if (xn >= 0)
if (yn >= 0)
if (xn < img_m.width())
if (yn < img_m.height())
if (img_f(xn,yn) != 0)
if (img_m(xn,yn) != 0)
if (img_m(xn,yn) != 255)
{
img_e(xn,yn) = 128;
img_m(xn,yn) = 255;
cnte4++;
}
}
}
}
cimg_forXY(img_m,px,py)
{
if (img_e(px,py) == 128)
{
for (int i = 1; i < 9; i++)
{
int xn = px + xo[i];
int yn = py + yo[i];
if (xn >= 0)
if (yn >= 0)
if (xn < img_m.width())
if (yn < img_m.height())
if (img_f(xn,yn) != 0)
if (img_m(xn,yn) != 0)
if (img_m(xn,yn) != 255)
{
img_e(xn,yn) = 80;
img_m(xn,yn) = 255;
cnte4++;
}
}
}
}
// look for nearest fixed within radius
for (int d=1; d <= FConRad; d++)
{
bool Found = false;
cimg_forXY(img_m,px,py)
{
bool Found = false;
if (img_m(px,py) == 255)
if (img_f(px,py) != 0)
{
for (int yn=py-d; yn <=py+d; yn++)
for (int xn=px-d; xn <=px+d; xn++)
if (!Found)
if (xn >= 0)
if (yn >= 0)
if (xn < img_m.width())
if (yn < img_m.height())
if ((std::abs(py-yn) <= d) || (std::abs(px-xn) <= d))
if (std::sqrt((px-xn)*(px-xn) + (py-yn)*(py-yn)) <= d)
if (img_f(xn,yn) == 0)
{
unsigned char v = 180;
img_e.draw_line(px, py, xn, yn, &v);
v = 254;
img_m.draw_line(px, py, xn, yn, &v);
cnte2++;
Found = true;
break;
}
}
}
}
cimg_forXY(img_m,px,py)
{
if ((img_m(px,py) == 255) || (img_e(px,py) > 64))
{
for (int i = 1; i < 9; i++)
{
int xn = px + xo[i];
int yn = py + yo[i];
if (xn >= 0)
if (yn >= 0)
if (xn < img_m.width())
if (yn < img_m.height())
if (img_f(xn,yn) == 0)
if (img_m(xn,yn) != 255)
{
img_e(xn,yn) = 64;
img_m(xn,yn) = 254;
cnte3++;
}
}
}
}
if (XCon)
cimg_forXY(img_m,px,py)
{
if (img_e(px,py) == 64)
{
for (int i = 1; i < 9; i++)
{
int xn = px + xo[i];
int yn = py + yo[i];
if (xn >= 0)
if (yn >= 0)
if (xn < img_m.width())
if (yn < img_m.height())
if (img_f(xn,yn) == 0)
if (img_m(xn,yn) != 255)
{
img_e(xn,yn) = 32;
img_m(xn,yn) = 254;
cnte2++;
}
}
}
}
cimg_forXY(img_m,px,py)
{
if (img_m(px,py) == 254)
img_m(px,py) = 255;
}
}
if (Debug)
img_e.save("debug-em.tif");
std::fprintf(stderr," %d/%d/%d/%d pixels expanded\n", cnte, cnte2, cnte3, cnte4);
img_b = img_f.get_erode(morph_mask);
cimg_forXY(img_f,px,py)
{
if (img_f(px,py) > 0)
{
if (img_b(px,py) == 0)
{
img_f(px,py) = 128;
if (img_m(px,py) < 255)
img_m(px,py) = 0;
}
else
img_f(px,py) = 255;
}
if (img_m(px,py) > 0)
{
if (img_m(px,py) < 255)
{
if (img_f(px,py) < 255)
img_f(px,py) = 64;
img_m(px,py) = 255;
}
else
{
img_f(px,py) = 255;
}
}
img_b(px,py) = img_m(px,py);
}
if (NGConnected)
{
cimg_forXY(img_m,px,py)
{
if (img_e(px,py) != 0)
{
img_f(px,py) = 254;
}
}
}
}
else // attract
{
cimg_forXY(img_m,px,py)
{
if (img_m(px,py) > 0)
img_m(px,py) = 255;
}
img_b = img_m;
cimg_forXY(img_f,px,py)
{
if ((img_b(px,py) == 0) && (img_f(px,py) != 0))
{
bool found_m = false;
bool found_f = false;
for (int yn=py-FR; yn <=py+FR; yn++)
{
for (int xn=px-FR; xn <=px+FR; xn++)
if (xn >= 0)
if (yn >= 0)
if (xn < img_f.width())
if (yn < img_f.height())
if (std::sqrt((px-xn)*(px-xn) + (py-yn)*(py-yn)) <= FR)
{
if (img_f(xn,yn) == 0) found_f = true;
if (img_b(xn,yn) != 0) found_m = true;
if (found_m && found_f) break;
}
if (found_m && found_f) break;
}
if (found_m && found_f)
{
img_m(px,py) = 255;
for (int i = 1; i < 9; i++)
{
int xn = px + xo[i];
int yn = py + yo[i];
if (xn >= 0)
if (yn >= 0)
if (xn < img_f.width())
if (yn < img_f.height())
img_m(xn,yn) = 255;
}
}
}
}
img_b = img_m;
}
if (Debug)
{
img_f.save("debug-f.pgm");
img_m.save("debug-fm.pgm");
}
}
else
{
cimg_forXY(img_m,px,py)
{
if (img_m(px,py) > 0)
img_m(px,py) = 255;
}
img_b = img_m;
}
img_sw = CImg<unsigned char>(img_m.width(), img_m.height(), 1, 1);
img_d = CImg<unsigned char>(img_m.width(), img_m.height(), 1, 1);
img_c = CImg<int>(img_m.width(), img_m.height(), 1, 1);
std::fprintf(stderr,"Measuring land areas...\n");
size_t cnt_all = 0;
size_t cnt_land = 0;
cimg_forXY(img_b,px,py)
{
cnt_all++;
if (img_b(px,py) == 255)
{
img_c(px,py) = 1;
img_d(px,py) = 48;
cnt_land++;
}
else
{
img_c(px,py) = 0;
img_d(px,py) = 0;
}
}
if ((cnt_land == cnt_all) || (cnt_land == 0))
{
std::fprintf(stderr," data is trivial\n");
if (file_o != NULL)
{
std::fprintf(stderr,"Writing output...\n");
img_m.save(file_o);
std::fprintf(stderr,"coastline mask written to file %s\n", file_o);
}
return 0;
}
if (Debug)
img_d.save("debug-dx.pgm");
int cntie = 0;
int cntie2 = 0;
std::fprintf(stderr,"Measuring islands...\n");
// measure islands and mark if too small
cimg_forXY(img_b,px,py)
{
if (img_b(px,py) == 255)
{
int c = img_b.floodfill4(px, py, 255, 128);
if (c < IThr[0])
{
img_b.floodfill4(px, py, 128, 64);
img_m.floodfill4(px, py, 255, 0);
img_c.floodfill4(px, py, 1, 0);
cntie++;
}
else if (c < IThr[1])
{
img_b.floodfill4(px, py, 128, 160);
img_m.floodfill4(px, py, 255, 0);
cntie2++;
}
else
img_c.floodfill4(px, py, 1, c);
}
}
if (Debug)
img_b.save("debug-ib.pgm");
std::fprintf(stderr," found %d/%d small islands.\n", cntie, cntie2);
if ((Radius[5] > 0.1) || (Radius[6] > 0.1))
{
std::fprintf(stderr,"Collapsing thin features (%.2f/%.2f/%.2f)...\n", Radius[5], Radius[6], Radius[7]);
int RI = int(Radius[6]+0.5);
CImg<unsigned char> morph_mask(RI*2 + 1, RI*2 + 1, 1, 1);
cimg_forXY(morph_mask,px,py)
{
int dx = px-(morph_mask.width()/2);
int dy = py-(morph_mask.height()/2);
if (std::sqrt(dx*dx+dy*dy) <= Radius[6])
morph_mask(px,py) = 255;
else
morph_mask(px,py) = 0;
}
CImg<float> img_dist = img_b.get_distance(0);
CImg<unsigned char> img_e = img_b.get_erode(morph_mask);
CImg<unsigned char> img_e2 = img_b;
CImg<unsigned char> img_ex = img_b;
cimg_forXY(img_b,px,py)
{
if (img_e(px,py) > 0) img_e(px,py) = 255;
if (img_e2(px,py) > 0) img_e2(px,py) = 255;
if (img_ex(px,py) > 0) img_ex(px,py) = 255;
}
cimg_forXY(img_b,px,py)
{
if (img_e2(px,py) == 255)
if (img_dist(px,py) < Radius[7])
img_e2(px,py) = 180;
}
cimg_forXY(img_b,px,py)
{
if (img_e2(px,py) == 255)
if (img_dist(px,py) >= Radius[7])
img_e2.floodfill4(px, py, 255, 128);
}
// disable collapse according to collapse mask
if (file_c != NULL)
{
img_co.dilate(morph_mask);
}
if (Debug)
img_e.save("debug-cl-e.tif");
if (Debug)
img_e2.save("debug-cl-e2.tif");
img_dist = img_e.get_distance(255);
if (Radius[5] > 0.1)
{
CImg<float> img_dist2 = img_b.get_distance(0);
cimg_forXY(img_b,px,py)
{
if (img_ex(px,py) == 255)
if (img_dist2(px,py) >= Radius[5])
img_ex.floodfill4(px, py, 255, 128);
}
}
int cntc = 0;
int cntc2 = 0;
int cntc3 = 0;
// collapse thin features
cimg_forXY(img_m,px,py)
{
if (img_b(px,py) == 0) continue;
if (Radius[5] > 0.1)
{
if (img_ex(px,py) != 128)
{
img_b(px,py) = 0;
img_m(px,py) = 0;
img_c(px,py) = 0;
img_d(px,py) = 64;
cntc++;
}
}
if (img_dist(px,py) > Radius[6]*8.0)
{
if (file_c != NULL)
{
if (img_co(px,py) != 0)
{
img_b(px,py) = 0;
img_m(px,py) = 0;
img_c(px,py) = 0;
img_d(px,py) = 128;
cntc2++;
}
}
else
{
img_b(px,py) = 0;
img_m(px,py) = 0;
img_c(px,py) = 0;
img_d(px,py) = 128;
cntc2++;
}
}
if (img_e2(px,py) != 128)
//if ((img_e2(px,py) != 180) && (img_dist(px,py) > Radius[6]))
{
if (file_c != NULL)
{
//if (img_c(px,py) >= IThr[3])
if (img_co(px,py) != 0)
{
img_b(px,py) = 0;
img_m(px,py) = 0;
img_c(px,py) = 0;
img_d(px,py) = 128;
cntc3++;
}
}
else //if (img_c(px,py) >= IThr[3])
{
img_b(px,py) = 0;
img_m(px,py) = 0;
img_c(px,py) = 0;
img_d(px,py) = 128;
cntc3++;
}
}
}
if (Debug)
img_d.save("debug-dcl.tif");
std::fprintf(stderr," %d/%d pixels collapsed.\n", cntc, cntc2, cntc3);
}
std::fprintf(stderr,"Analyzing small islands...\n");
cntie = 0;
int cxx = 0;
// look for nearest main land
for (int d=1; d < Radius[1]-0.0001; d++)
{
cimg_forXY(img_b,px,py)
{
bool Found = false;
if (img_c(px,py) == 1)
if (img_b(px,py) == 160)
{
for (int yn=py-d; yn <=py+d; yn++)
for (int xn=px-d; xn <=px+d; xn++)
if (!Found)
if (xn >= 0)
if (yn >= 0)
if (xn < img_c.width())
if (yn < img_c.height())
if ((std::abs(py-yn) == d) || (std::abs(px-xn) == d))
if (std::sqrt((px-xn)*(px-xn) + (py-yn)*(py-yn)) <= Radius[1])
if (img_m(xn,yn) == 255)
{
img_b.floodfill4(px, py, 160, 180);
img_c.floodfill4(px, py, 1, 0);
const unsigned char v = 255;
img_b.draw_line(px, py, xn, yn, &v);
img_b.draw_line(px+1, py, xn+1, yn, &v);
img_b.draw_line(px-1, py, xn-1, yn, &v);
cntie++;
Found = true;
break;
}
else
{
cxx++;
if (img_b(xn,yn) == 0) img_b(xn,yn) = 32;
}
}
else
{
img_b(px,py) = std::min(96, (int)img_b(px,py));
}
}
}
// transfer to main image
cimg_forXY(img_b,px,py)
{
if (img_b(px,py) > 128)
{
img_m(px,py) = 255;
img_d(px,py) = 255;
}
}
if (Debug)
img_b.save("debug-ib2.pgm");
std::fprintf(stderr," connected %d small islands (%d tests).\n", cntie, cxx);
std::fprintf(stderr,"Preparing skeletonization...\n");
img_sl = CImg<unsigned char>(img_m);
cimg_forXY(img_sl,px,py)
{
img_sw(px,py) = 255-img_sl(px,py);
}
img_sl.erode(2*Radius[0]);
img_sw.erode(2*Radius[0]);
if ((file_f != NULL) && (FS > 0))
{
cimg_forXY(img_f,px,py)
{
if (img_f(px,py) < 254)
{
img_sl(px,py) = 0;
img_sw(px,py) = 255;
}
}
}
if (Debug)
{
img_sl.save("debug-raw-l.pgm");
img_sw.save("debug-raw-w.pgm");
}
int csl1 = 0;
int csw1 = 0;
int csl2 = 0;
int csw2 = 0;
cimg_forXY(img_sl,px,py)
{
if ((px > 1) && (py > 1) && (px < img_sl.width()-2) && (py < img_sl.height()-2))
{
if (img_sl(px,py) > 0)
{
img_sl(px,py) = 255;
csl1++;
}
else if (img_m(px,py) > 0)
{
img_sl(px,py) = 128;
csl2++;
}
else
img_sl(px,py) = 0;
}
else
img_sl(px,py) = 0;
if ((px > 1) && (py > 1) && (px < img_sw.width()-2) && (py < img_sw.height()-2))
{
if (img_sw(px,py) > 0)
{
img_sw(px,py) = 255;
csw1++;
}
else if (img_m(px,py) == 0)
{
img_sw(px,py) = 128;
csw2++;
}
else
img_sw(px,py) = 0;
}
else
img_sw(px,py) = 0;
}
std::fprintf(stderr," land: %d fixed, %d variable.\n", csl1, csl2);
std::fprintf(stderr," water: %d fixed, %d variable.\n", csw1, csw2);
std::fprintf(stderr,"Skeletonizing...\n");
img_sl.thin(200, true);
img_sw.thin(200, true);
if (Debug)
{
img_sl.save("debug-skel-l.pgm");
img_sw.save("debug-skel-w.pgm");
}
std::fprintf(stderr,"Processing skeletons...\n");
{
CImg<unsigned char> img_snl = img_sl;
CImg<unsigned char> img_snw = img_sw;
// mark all junctions
cimg_forXY(img_snl,px,py)
{
if (img_snl(px,py) == 128)
{
img_d(px,py) = 128;
if (img_snl.n_adj(px,py) < 2)
img_sl(px,py) = 0;
}
else
img_sl(px,py) = 0;
if (img_snw(px,py) == 128)
{
img_d(px,py) = 80;
if (img_snw.n_adj(px,py) < 2)
img_sw(px,py) = 0;
}
else
img_sw(px,py) = 0;
}
}
std::fprintf(stderr,"Doing basic smoothing...\n");
img_b = img_m;
img_b.blur(Radius[0]);
if ((file_f != NULL) && (FS > 0))
{
cimg_forXY(img_f,px,py)
{
if (img_f(px,py) < 254)
{
img_b(px,py) = 0;
}
}
}
CImg<unsigned char> img_sl2 = img_sl;
CImg<unsigned char> img_sw2 = img_sw;
CImg<unsigned char> img_swx = img_sw;
CImg<unsigned char> img_slx = img_sl;
std::fprintf(stderr,"Shortening primary skeletons...\n");
for (int j=0; j < Radius[1]*1.6; j++)
{
CImg<unsigned char> img_tmpl(img_sl);
CImg<unsigned char> img_tmpw(img_sw);
CImg<unsigned char> img_tmpl2(img_sl2);
CImg<unsigned char> img_tmplx(img_slx);
CImg<unsigned char> img_tmpw2(img_sw2);
cimg_forXY(img_sl,px,py)
{
if ((px > 2) && (py > 2) && (px < img_sl.width()-3) && (py < img_sl.height()-3))
{
if (img_tmplx(px,py) > 0)
if (img_tmplx.is_end3(px, py))
{
img_slx(px,py) = 0;
}
if (j < Radius[1]*1.2)
{
if (img_tmpl(px,py) > 0)
if (img_tmpl.is_end3(px, py))
{
img_sl(px,py) = 0;
img_d(px,py) = 200;
}
if (img_tmpw(px,py) > 0)
if (img_tmpw.is_end3(px, py))
{
img_sw(px,py) = 0;
img_d(px,py) = 200;
}
}
if (j < Radius[1]*0.5)
{
if (img_tmpw2(px,py) > 0)
if (img_tmpw2.is_end3(px, py))
{
img_sw2(px,py) = 0;
img_d(px,py) = 255;
}
}
}
}
}
if (Radius[2] == 0)
{
cimg_forXY(img_swx,px,py)
{
img_swx(px,py) = 0;
}
}
else
{
std::fprintf(stderr,"Generating water base skeleton...\n");
int j=0;
while (true)
{
std::fprintf(stderr," iteration %d...\n", j);
bool Found = false;
CImg<unsigned char> img_tmpw(img_swx);
cimg_forXY(img_swx,px,py)
{
if ((px > 2) && (py > 2) && (px < img_swx.width()-3) && (py < img_swx.height()-3))
{
if (img_tmpw(px,py) > 0)
if (img_tmpw.is_end3(px, py))
{
img_swx(px,py) = 0;
Found = true;
}
}
}
if (!Found) break;
j++;
if (j > Radius[2]*20) break;
}
}
if (Debug)
{
img_sl.save("debug-skel2-l.pgm");
img_sl2.save("debug-skel2-l2.pgm");
img_slx.save("debug-skel2-lx.pgm");
img_sw.save("debug-skel2-w.pgm");
img_sw2.save("debug-skel2-w2.pgm");
img_swx.save("debug-skel2-wx.pgm");
}
std::fprintf(stderr,"Dilating skeleton...\n");
float rsum = 0.0;
while (rsum < Radius[1]+0.01)
{
cimg_forXY(img_c,px,py)
{
if (img_c(px,py) > 1)
if (img_c(px,py) < rsum*rsum*4.0)
if (img_c(px,py) < IThr[2])
{
img_sl(px,py) = 255;
img_sl2(px,py) = 255;
}
}
float r = std::min(float(1.0),Radius[1]-rsum);
if (r < 0.01) break;
std::fprintf(stderr," step 1 (%.2f)...\n", r);
img_sl.blur(r);
img_sw.blur(r);
if (rsum < Radius[1]*0.5)
img_sl2.blur(r);
if (rsum < Radius[1]*0.5)
img_sw2.blur(r);
if (rsum < Radius[2])
img_swx.blur(r);
if (rsum < Radius[3])
img_slx.blur(r);
cimg_forXY(img_sl,px,py)
{
if ((rsum < Radius[2]) && (img_swx(px,py) > 10))
img_swx(px,py) = 255;
if ((rsum < Radius[3]) && (img_slx(px,py) > 10))
img_slx(px,py) = 255;
{
if ((img_sl(px,py) > 10) && (img_sl(px,py) > img_sw(px,py)))
img_sl(px,py) = 255;
else