Révision 25
lsm3D_compile.sh (revision 25) | ||
---|---|---|
5 | 5 |
|
6 | 6 |
cd src |
7 | 7 |
echo '------------------------------------' |
8 |
echo 'compiling lsm_detect_contour...'
|
|
9 |
g++ -o $bin_directory/lsm_detect_contour lsm_detect_contour.cpp $compiling_options
|
|
8 |
echo 'compiling lsm_contour...' |
|
9 |
g++ -o $bin_directory/lsm_contour lsm_contour.cpp $compiling_options
|
|
10 | 10 |
|
11 | 11 |
echo 'compiling lsm_cells...' |
12 | 12 |
g++ -o $bin_directory/lsm_cells lsm_cells.cpp $compiling_options -lX11 -fopenmp |
src/lsm_detect_contour.cpp (revision 25) | ||
---|---|---|
1 |
/* |
|
2 |
Level-set Method to detect contour (exterior shape) |
|
3 |
Sequential |
|
4 |
Stop criteria parameters in command lines |
|
5 |
|
|
6 |
To compile |
|
7 |
g++ -o lsm_detect_contour lsm_detect_contour_full.cpp -O2 -L/usr/X11R6/lib -lm -lpthread -lX11 -l:libtiff.so.5 |
|
8 |
Need CImg.h and lsm_lib.h |
|
9 |
|
|
10 |
To execute |
|
11 |
./lsm_detect_contour_ful.exe img t_up t_down a b smooth perUp perDown |
|
12 |
|
|
13 |
img : grayscale image of cells, .inr or .inr.gz |
|
14 |
t_up,t_down : linear threshold value (inr) |
|
15 |
a : area term (float) --> 0.5, 1 |
|
16 |
b : curvature term (float) |
|
17 |
smooth : amount of gaussian blur to apply to the image |
|
18 |
perUp, perDown : the algorithm stops when 10 succesive iteration are between perUp and perDown (in % of background growth) |
|
19 |
*/ |
|
20 |
|
|
21 |
#include <iostream> |
|
22 |
#include <math.h> |
|
23 |
#include <sstream> |
|
24 |
#include <vector> |
|
25 |
#include <fstream> |
|
26 |
|
|
27 |
#include "lsm_lib.h" |
|
28 |
|
|
29 |
using namespace cimg_library; |
|
30 |
using namespace std; |
|
31 |
|
|
32 |
//------------------------------------------------------------------------------ |
|
33 |
//Main |
|
34 |
//------------------------------------------------------------------------------ |
|
35 |
int main (int argc, char* argv[]) |
|
36 |
{ |
|
37 |
clock_t begin=clock(); |
|
38 |
|
|
39 |
if(argc!=9) |
|
40 |
{ |
|
41 |
cout<<"!! wrong number of arguments"<<endl; |
|
42 |
cout<<"Usage : lsm_detect_contour img t_up t_down a b smooth perUp perDown"<<endl; |
|
43 |
cout<<"Examples for parameter values:"<<endl; |
|
44 |
cout<<"------------------------------"<<endl; |
|
45 |
cout<<"img : grayscale image of cells, (.inr or .inr.gz)"<<endl; |
|
46 |
cout<<"Upper threshold : t_up = 20"<<endl; |
|
47 |
cout<<"Down threshold : t_down = 5"<<endl; |
|
48 |
cout<<"Area term : a = 0 (0.5, 1)"<<endl; |
|
49 |
cout<<"Curvature term : b = 0 (1)"<<endl; |
|
50 |
cout<<"Gaussian filter : smooth = 1 (0, if image already filtered)"<<endl; |
|
51 |
cout<<"Stop criteria : the contour evolution is in [perDown,perUp] for 10 consecutive iterations"<<endl; |
|
52 |
cout<<" perUp = 0.002, perDown = -0.002"<<endl; |
|
53 |
return 0; |
|
54 |
} |
|
55 |
|
|
56 |
//ckeck filename and read image |
|
57 |
string filename=argv[1]; |
|
58 |
CImg<unsigned char> img_prev; |
|
59 |
if(filename.compare(filename.size()-4,4,".inr")==0) |
|
60 |
{ |
|
61 |
img_prev.load(filename.c_str()); |
|
62 |
} |
|
63 |
else if(filename.compare(filename.size()-7,7,".inr.gz")==0) |
|
64 |
{ |
|
65 |
img_prev.load_gzip_external(filename.c_str()); |
|
66 |
filename.erase(filename.size()-3); |
|
67 |
} |
|
68 |
else |
|
69 |
{cout<<"!! wrong file extension : "<<filename<<endl; |
|
70 |
return 0;} |
|
71 |
CImg<float> img=img_prev; |
|
72 |
img_prev.assign(); |
|
73 |
cout<<"original image : "<<filename<<endl; |
|
74 |
|
|
75 |
//--------------------------------------------Parameters |
|
76 |
//model parameters |
|
77 |
int lam=10; |
|
78 |
int alf=atoi(argv[4]); |
|
79 |
int beta=atoi(argv[5]); |
|
80 |
|
|
81 |
//numerical parameters |
|
82 |
float epsilon=1.5; |
|
83 |
int dt=100; |
|
84 |
float mu=0.1/dt; |
|
85 |
int timestep_max=2000; |
|
86 |
|
|
87 |
//linear threshold |
|
88 |
int t_up=atoi(argv[2]); |
|
89 |
int t_down=atoi(argv[3]); |
|
90 |
|
|
91 |
float smooth=atof(argv[6]); |
|
92 |
|
|
93 |
float perUp=atof(argv[7]); |
|
94 |
float perDown=atof(argv[8]); |
|
95 |
|
|
96 |
float tailleVoxel[3] = {0.195177,0.195177,0.195177}; |
|
97 |
|
|
98 |
//other paremeters |
|
99 |
int systout; |
|
100 |
|
|
101 |
//-------------------------------------------Names and directories |
|
102 |
//new name with arguments |
|
103 |
string ar2=argv[2]; |
|
104 |
string ar3=argv[3]; |
|
105 |
string ar4=argv[4]; |
|
106 |
string ar5=argv[5]; |
|
107 |
string ar6=argv[6]; |
|
108 |
string insert="_LSMcont"+ar2+"-"+ar3+"a"+ar4+"b"+ar5+"s"+ar6; |
|
109 |
filename.insert(filename.size()-4,insert); |
|
110 |
|
|
111 |
//create directories and update names |
|
112 |
size_t test=filename.rfind("/"); |
|
113 |
if(test!=filename.npos) |
|
114 |
{filename.erase(0,test+1);} |
|
115 |
string outputdir=filename; |
|
116 |
outputdir.erase(filename.size()-4); |
|
117 |
string mkdir="mkdir -p "+outputdir; |
|
118 |
systout=system(mkdir.c_str()); |
|
119 |
mkdir="mkdir -p "+outputdir+"/evolution"; |
|
120 |
systout=system(mkdir.c_str()); |
|
121 |
|
|
122 |
string filename_cut=outputdir+"/evolution/"+filename; |
|
123 |
filename_cut.erase(filename_cut.size()-4); |
|
124 |
filename=outputdir+"/"+filename; |
|
125 |
string result_name=filename; |
|
126 |
|
|
127 |
//txt files |
|
128 |
ofstream file; |
|
129 |
string txt_name=filename_cut+".txt"; |
|
130 |
file.open(txt_name.c_str()); |
|
131 |
file<<argv[0]<<endl; |
|
132 |
time_t t; |
|
133 |
struct tm * timeinfo; |
|
134 |
time(&t); |
|
135 |
timeinfo=localtime(&t); |
|
136 |
file<<asctime(timeinfo); |
|
137 |
file<<"image : "<<argv[1]<<endl; |
|
138 |
file<<"_________________________________"<<endl; |
|
139 |
file<<"Parameters"<<endl; |
|
140 |
file<<"lambda : "<<lam<<endl; |
|
141 |
file<<"alpha : "<<alf<<endl; |
|
142 |
file<<"epsilon : "<<epsilon<<endl; |
|
143 |
file<<"dt : "<<dt<<endl; |
|
144 |
file<<"mu : "<<mu<<endl; |
|
145 |
file<<"timestep_max : "<<timestep_max<<endl; |
|
146 |
file<<"\nthreshold up : "<<t_up<<endl; |
|
147 |
file<<"threshold down : "<<t_down<<endl; |
|
148 |
file<<"beta : "<<beta<<endl; |
|
149 |
file<<"perUp : "<<perUp<<endl; |
|
150 |
file<<"perDown : "<<perDown<<endl; |
|
151 |
|
|
152 |
ofstream bg_file; |
|
153 |
string bg_name=filename_cut+"_BGgrowth.txt"; |
|
154 |
bg_file.open(bg_name.c_str()); |
|
155 |
bg_file<<"it\tbg_growth"<<endl; |
|
156 |
|
|
157 |
//-----------------------------------------Image Pre-processing |
|
158 |
//add slices |
|
159 |
img=add_side_slices(img,3); |
|
160 |
|
|
161 |
//define and save cut |
|
162 |
int cut=img._depth/2; |
|
163 |
cout <<"cut z= "<<cut<<endl; |
|
164 |
file <<"\ncut z= "<<cut<<endl; |
|
165 |
CImg<float> imgCut=img.get_crop(0,0,cut,0,img._width,img._height,cut,0); |
|
166 |
imgCut.save((filename_cut+".png").c_str()); |
|
167 |
|
|
168 |
//smooth image |
|
169 |
file<<"smooth : "<<smooth<<endl; |
|
170 |
img.blur(smooth); |
|
171 |
|
|
172 |
//-------------------------------------------Initialization |
|
173 |
//compute fixed terms |
|
174 |
CImg<float> g=edge_indicator(gradient(img)); |
|
175 |
CImgList<float> gg=gradient(g); |
|
176 |
|
|
177 |
//initialize level-set |
|
178 |
int c0=-4; |
|
179 |
CImg<unsigned char> segmented=threshold_linear_alongZ(img,t_up,t_down); |
|
180 |
string segmentedName=filename+".gz"; |
|
181 |
segmentedName.insert(filename.size()-4,"_initial"); |
|
182 |
segmented.save_gzip_external(segmentedName.c_str()); |
|
183 |
|
|
184 |
CImg<float> psi=lsm_contour_init(segmented,c0); |
|
185 |
|
|
186 |
int it=0; |
|
187 |
int it_stop=0; |
|
188 |
bool contour_evolves=true; |
|
189 |
int nb_pix=img.width()*img.height()*img.depth(); |
|
190 |
double prev_backsegm=segmented.sum(); |
|
191 |
|
|
192 |
//-------------------------------------------Time iterations |
|
193 |
while( (it<timestep_max) and (contour_evolves==true) ) |
|
194 |
{ |
|
195 |
//LSM |
|
196 |
psi=evolution_AK2_contour(psi,g,gg,g,lam,mu,alf,beta,epsilon,dt); |
|
197 |
|
|
198 |
//Update segmentation |
|
199 |
double backsegm=0; |
|
200 |
cimg_forXYZ(segmented,x,y,z) |
|
201 |
{ |
|
202 |
if(psi(x,y,z)>0) |
|
203 |
{ |
|
204 |
segmented(x,y,z)=1; |
|
205 |
backsegm+=1; |
|
206 |
} |
|
207 |
else |
|
208 |
{segmented(x,y,z)=0;} |
|
209 |
} |
|
210 |
|
|
211 |
//Background evolution |
|
212 |
double bg_evolution=backsegm-prev_backsegm; |
|
213 |
double bg100=(bg_evolution*1.0/nb_pix)*100; |
|
214 |
prev_backsegm=backsegm; |
|
215 |
|
|
216 |
cout<<"----------------------------------- it : "<<it<<endl; |
|
217 |
cout<<"bg growth : "<<bg_evolution<<endl; |
|
218 |
cout<<"% of bg growth : "<<bg100<<endl; |
|
219 |
bg_file<<it<<"\t"<<bg_evolution<<endl; |
|
220 |
|
|
221 |
|
|
222 |
//Stop criteria |
|
223 |
if((it>10) and (bg100<perUp) and (bg100>perDown)) |
|
224 |
{ |
|
225 |
it_stop+=1; |
|
226 |
if(it_stop>9) |
|
227 |
{contour_evolves=false;} |
|
228 |
} |
|
229 |
else |
|
230 |
{ |
|
231 |
it_stop=0; |
|
232 |
} |
|
233 |
|
|
234 |
//Graphics to follow evolution |
|
235 |
if((it%50==0)or(contour_evolves==false)or(it==timestep_max-1)) |
|
236 |
{ |
|
237 |
ostringstream oss; |
|
238 |
oss << it; |
|
239 |
string iterstring=""; |
|
240 |
if(it<10) {iterstring="00"+oss.str();} |
|
241 |
else if (it<100) {iterstring="0"+oss.str();} |
|
242 |
else {iterstring=oss.str();} |
|
243 |
cout<<"-----------------------------------"<<endl; |
|
244 |
cout<<" *** time step for graphics : "<<iterstring<<endl; |
|
245 |
//Save cut |
|
246 |
CImg<float>segCut=segmented.get_crop(0,0,cut,0,img._width,img._height,cut,0); |
|
247 |
string temp_name=filename_cut+"it"+iterstring+".png"; |
|
248 |
segCut.normalize(0,255).save(temp_name.c_str()); |
|
249 |
} |
|
250 |
if((((it%50)==0)and(it!=0))or(contour_evolves==false)or(it==timestep_max-1)) |
|
251 |
{ |
|
252 |
//Save result |
|
253 |
CImg<unsigned char>segSave=remove_side_slices(segmented,3); |
|
254 |
segSave.save_inr(result_name.c_str(),tailleVoxel); |
|
255 |
segSave.assign(); |
|
256 |
string zip="gzip -f "+result_name; |
|
257 |
systout=system(zip.c_str()); |
|
258 |
} |
|
259 |
it+=1; |
|
260 |
} |
|
261 |
|
|
262 |
clock_t end=clock(); |
|
263 |
double time=double(end-begin)/CLOCKS_PER_SEC; |
|
264 |
cout <<"elapsed time : "<<time<<" sec ( ~ "<<time/60<<" mn ~ "<<time/60/60<<" h)"<<endl; |
|
265 |
file <<"last iteration : "<<it-1<<endl; |
|
266 |
file <<"elapsed time : "<<time<<" sec ( ~ "<<time/60<<" mn ~ "<<time/60/60<<" h)"<<endl; |
|
267 |
|
|
268 |
file<<"width "<<img.width()<<endl; |
|
269 |
file<<"height "<<img.height()<<endl; |
|
270 |
file<<"depth "<<img.depth()<<endl; |
|
271 |
|
|
272 |
file<<"number of pixel "<<img._width*img._height*img._depth<<endl; |
|
273 |
|
|
274 |
file.close(); |
|
275 |
return 0; |
|
276 |
} |
src/lsm_contour.cpp (revision 25) | ||
---|---|---|
1 |
/* |
|
2 |
Level-set Method to detect contour (exterior shape) |
|
3 |
Sequential |
|
4 |
Stop criteria parameters in command lines |
|
5 |
|
|
6 |
To compile |
|
7 |
g++ -o lsm_contour lsm_contour.cpp -O2 -L/usr/X11R6/lib -lm -lpthread -lX11 -l:libtiff.so.5 |
|
8 |
Need CImg.h and lsm_lib.h |
|
9 |
|
|
10 |
To execute |
|
11 |
./lsm_contour img t_up t_down a b smooth perUp perDown |
|
12 |
|
|
13 |
img : grayscale image of cells, .inr or .inr.gz |
|
14 |
t_up,t_down : linear threshold value (inr) |
|
15 |
a : area term (float) --> 0.5, 1 |
|
16 |
b : curvature term (float) |
|
17 |
smooth : amount of gaussian blur to apply to the image |
|
18 |
perUp, perDown : the algorithm stops when 10 succesive iteration are between perUp and perDown (in % of background growth) |
|
19 |
*/ |
|
20 |
|
|
21 |
#include <iostream> |
|
22 |
#include <math.h> |
|
23 |
#include <sstream> |
|
24 |
#include <vector> |
|
25 |
#include <fstream> |
|
26 |
|
|
27 |
#include "lsm_lib.h" |
|
28 |
|
|
29 |
using namespace cimg_library; |
|
30 |
using namespace std; |
|
31 |
|
|
32 |
//------------------------------------------------------------------------------ |
|
33 |
//Main |
|
34 |
//------------------------------------------------------------------------------ |
|
35 |
int main (int argc, char* argv[]) |
|
36 |
{ |
|
37 |
clock_t begin=clock(); |
|
38 |
|
|
39 |
if(argc!=9) |
|
40 |
{ |
|
41 |
cout<<"!! wrong number of arguments"<<endl; |
|
42 |
cout<<"Usage : lsm_contour img t_up t_down a b smooth perUp perDown"<<endl; |
|
43 |
cout<<"Examples for parameter values:"<<endl; |
|
44 |
cout<<"------------------------------"<<endl; |
|
45 |
cout<<"img : grayscale image of cells, (.inr or .inr.gz)"<<endl; |
|
46 |
cout<<"Upper threshold : t_up = 20"<<endl; |
|
47 |
cout<<"Down threshold : t_down = 5"<<endl; |
|
48 |
cout<<"Area term : a = 0 (0.5, 1)"<<endl; |
|
49 |
cout<<"Curvature term : b = 0 (1)"<<endl; |
|
50 |
cout<<"Gaussian filter : smooth = 1 (0, if image already filtered)"<<endl; |
|
51 |
cout<<"Stop criteria : the contour evolution is in [perDown,perUp] for 10 consecutive iterations"<<endl; |
|
52 |
cout<<" perUp = 0.002, perDown = -0.002"<<endl; |
|
53 |
return 0; |
|
54 |
} |
|
55 |
|
|
56 |
//ckeck filename and read image |
|
57 |
string filename=argv[1]; |
|
58 |
CImg<unsigned char> img_prev; |
|
59 |
if(filename.compare(filename.size()-4,4,".inr")==0) |
|
60 |
{ |
|
61 |
img_prev.load(filename.c_str()); |
|
62 |
} |
|
63 |
else if(filename.compare(filename.size()-7,7,".inr.gz")==0) |
|
64 |
{ |
|
65 |
img_prev.load_gzip_external(filename.c_str()); |
|
66 |
filename.erase(filename.size()-3); |
|
67 |
} |
|
68 |
else |
|
69 |
{cout<<"!! wrong file extension : "<<filename<<endl; |
|
70 |
return 0;} |
|
71 |
CImg<float> img=img_prev; |
|
72 |
img_prev.assign(); |
|
73 |
cout<<"original image : "<<filename<<endl; |
|
74 |
|
|
75 |
//--------------------------------------------Parameters |
|
76 |
//model parameters |
|
77 |
int lam=10; |
|
78 |
int alf=atoi(argv[4]); |
|
79 |
int beta=atoi(argv[5]); |
|
80 |
|
|
81 |
//numerical parameters |
|
82 |
float epsilon=1.5; |
|
83 |
int dt=100; |
|
84 |
float mu=0.1/dt; |
|
85 |
int timestep_max=2000; |
|
86 |
|
|
87 |
//linear threshold |
|
88 |
int t_up=atoi(argv[2]); |
|
89 |
int t_down=atoi(argv[3]); |
|
90 |
|
|
91 |
float smooth=atof(argv[6]); |
|
92 |
|
|
93 |
float perUp=atof(argv[7]); |
|
94 |
float perDown=atof(argv[8]); |
|
95 |
|
|
96 |
float tailleVoxel[3] = {0.195177,0.195177,0.195177}; |
|
97 |
|
|
98 |
//other paremeters |
|
99 |
int systout; |
|
100 |
|
|
101 |
//-------------------------------------------Names and directories |
|
102 |
//new name with arguments |
|
103 |
string ar2=argv[2]; |
|
104 |
string ar3=argv[3]; |
|
105 |
string ar4=argv[4]; |
|
106 |
string ar5=argv[5]; |
|
107 |
string ar6=argv[6]; |
|
108 |
string insert="_LSMcont"+ar2+"-"+ar3+"a"+ar4+"b"+ar5+"s"+ar6; |
|
109 |
filename.insert(filename.size()-4,insert); |
|
110 |
|
|
111 |
//create directories and update names |
|
112 |
size_t test=filename.rfind("/"); |
|
113 |
if(test!=filename.npos) |
|
114 |
{filename.erase(0,test+1);} |
|
115 |
string outputdir=filename; |
|
116 |
outputdir.erase(filename.size()-4); |
|
117 |
string mkdir="mkdir -p "+outputdir; |
|
118 |
systout=system(mkdir.c_str()); |
|
119 |
mkdir="mkdir -p "+outputdir+"/evolution"; |
|
120 |
systout=system(mkdir.c_str()); |
|
121 |
|
|
122 |
string filename_cut=outputdir+"/evolution/"+filename; |
|
123 |
filename_cut.erase(filename_cut.size()-4); |
|
124 |
filename=outputdir+"/"+filename; |
|
125 |
string result_name=filename; |
|
126 |
|
|
127 |
//txt files |
|
128 |
ofstream file; |
|
129 |
string txt_name=filename_cut+".txt"; |
|
130 |
file.open(txt_name.c_str()); |
|
131 |
file<<argv[0]<<endl; |
|
132 |
time_t t; |
|
133 |
struct tm * timeinfo; |
|
134 |
time(&t); |
|
135 |
timeinfo=localtime(&t); |
|
136 |
file<<asctime(timeinfo); |
|
137 |
file<<"image : "<<argv[1]<<endl; |
|
138 |
file<<"_________________________________"<<endl; |
|
139 |
file<<"Parameters"<<endl; |
|
140 |
file<<"lambda : "<<lam<<endl; |
|
141 |
file<<"alpha : "<<alf<<endl; |
|
142 |
file<<"epsilon : "<<epsilon<<endl; |
|
143 |
file<<"dt : "<<dt<<endl; |
|
144 |
file<<"mu : "<<mu<<endl; |
|
145 |
file<<"timestep_max : "<<timestep_max<<endl; |
|
146 |
file<<"\nthreshold up : "<<t_up<<endl; |
|
147 |
file<<"threshold down : "<<t_down<<endl; |
|
148 |
file<<"beta : "<<beta<<endl; |
|
149 |
file<<"perUp : "<<perUp<<endl; |
|
150 |
file<<"perDown : "<<perDown<<endl; |
|
151 |
|
|
152 |
ofstream bg_file; |
|
153 |
string bg_name=filename_cut+"_BGgrowth.txt"; |
|
154 |
bg_file.open(bg_name.c_str()); |
|
155 |
bg_file<<"it\tbg_growth"<<endl; |
|
156 |
|
|
157 |
//-----------------------------------------Image Pre-processing |
|
158 |
//add slices |
|
159 |
img=add_side_slices(img,3); |
|
160 |
|
|
161 |
//define and save cut |
|
162 |
int cut=img._depth/2; |
|
163 |
cout <<"cut z= "<<cut<<endl; |
|
164 |
file <<"\ncut z= "<<cut<<endl; |
|
165 |
CImg<float> imgCut=img.get_crop(0,0,cut,0,img._width,img._height,cut,0); |
|
166 |
imgCut.save((filename_cut+".png").c_str()); |
|
167 |
|
|
168 |
//smooth image |
|
169 |
file<<"smooth : "<<smooth<<endl; |
|
170 |
img.blur(smooth); |
|
171 |
|
|
172 |
//-------------------------------------------Initialization |
|
173 |
//compute fixed terms |
|
174 |
CImg<float> g=edge_indicator(gradient(img)); |
|
175 |
CImgList<float> gg=gradient(g); |
|
176 |
|
|
177 |
//initialize level-set |
|
178 |
int c0=-4; |
|
179 |
CImg<unsigned char> segmented=threshold_linear_alongZ(img,t_up,t_down); |
|
180 |
string segmentedName=filename+".gz"; |
|
181 |
segmentedName.insert(filename.size()-4,"_initial"); |
|
182 |
segmented.save_gzip_external(segmentedName.c_str()); |
|
183 |
|
|
184 |
CImg<float> psi=lsm_contour_init(segmented,c0); |
|
185 |
|
|
186 |
int it=0; |
|
187 |
int it_stop=0; |
|
188 |
bool contour_evolves=true; |
|
189 |
int nb_pix=img.width()*img.height()*img.depth(); |
|
190 |
double prev_backsegm=segmented.sum(); |
|
191 |
|
|
192 |
//-------------------------------------------Time iterations |
|
193 |
while( (it<timestep_max) and (contour_evolves==true) ) |
|
194 |
{ |
|
195 |
//LSM |
|
196 |
psi=evolution_AK2_contour(psi,g,gg,g,lam,mu,alf,beta,epsilon,dt); |
|
197 |
|
|
198 |
//Update segmentation |
|
199 |
double backsegm=0; |
|
200 |
cimg_forXYZ(segmented,x,y,z) |
|
201 |
{ |
|
202 |
if(psi(x,y,z)>0) |
|
203 |
{ |
|
204 |
segmented(x,y,z)=1; |
|
205 |
backsegm+=1; |
|
206 |
} |
|
207 |
else |
|
208 |
{segmented(x,y,z)=0;} |
|
209 |
} |
|
210 |
|
|
211 |
//Background evolution |
|
212 |
double bg_evolution=backsegm-prev_backsegm; |
|
213 |
double bg100=(bg_evolution*1.0/nb_pix)*100; |
|
214 |
prev_backsegm=backsegm; |
|
215 |
|
|
216 |
cout<<"----------------------------------- it : "<<it<<endl; |
|
217 |
cout<<"bg growth : "<<bg_evolution<<endl; |
|
218 |
cout<<"% of bg growth : "<<bg100<<endl; |
|
219 |
bg_file<<it<<"\t"<<bg_evolution<<endl; |
|
220 |
|
|
221 |
|
|
222 |
//Stop criteria |
|
223 |
if((it>10) and (bg100<perUp) and (bg100>perDown)) |
|
224 |
{ |
|
225 |
it_stop+=1; |
|
226 |
if(it_stop>9) |
|
227 |
{contour_evolves=false;} |
|
228 |
} |
|
229 |
else |
|
230 |
{ |
|
231 |
it_stop=0; |
|
232 |
} |
|
233 |
|
|
234 |
//Graphics to follow evolution |
|
235 |
if((it%50==0)or(contour_evolves==false)or(it==timestep_max-1)) |
|
236 |
{ |
|
237 |
ostringstream oss; |
|
238 |
oss << it; |
|
239 |
string iterstring=""; |
|
240 |
if(it<10) {iterstring="00"+oss.str();} |
|
241 |
else if (it<100) {iterstring="0"+oss.str();} |
|
242 |
else {iterstring=oss.str();} |
|
243 |
cout<<"-----------------------------------"<<endl; |
|
244 |
cout<<" *** time step for graphics : "<<iterstring<<endl; |
|
245 |
//Save cut |
|
246 |
CImg<float>segCut=segmented.get_crop(0,0,cut,0,img._width,img._height,cut,0); |
|
247 |
string temp_name=filename_cut+"it"+iterstring+".png"; |
|
248 |
segCut.normalize(0,255).save(temp_name.c_str()); |
|
249 |
} |
|
250 |
if((((it%50)==0)and(it!=0))or(contour_evolves==false)or(it==timestep_max-1)) |
|
251 |
{ |
|
252 |
//Save result |
|
253 |
CImg<unsigned char>segSave=remove_side_slices(segmented,3); |
|
254 |
segSave.save_inr(result_name.c_str(),tailleVoxel); |
|
255 |
segSave.assign(); |
|
256 |
string zip="gzip -f "+result_name; |
|
257 |
systout=system(zip.c_str()); |
|
258 |
} |
|
259 |
it+=1; |
|
260 |
} |
|
261 |
|
|
262 |
clock_t end=clock(); |
|
263 |
double time=double(end-begin)/CLOCKS_PER_SEC; |
|
264 |
cout <<"elapsed time : "<<time<<" sec ( ~ "<<time/60<<" mn ~ "<<time/60/60<<" h)"<<endl; |
|
265 |
file <<"last iteration : "<<it-1<<endl; |
|
266 |
file <<"elapsed time : "<<time<<" sec ( ~ "<<time/60<<" mn ~ "<<time/60/60<<" h)"<<endl; |
|
267 |
|
|
268 |
file<<"width "<<img.width()<<endl; |
|
269 |
file<<"height "<<img.height()<<endl; |
|
270 |
file<<"depth "<<img.depth()<<endl; |
|
271 |
|
|
272 |
file<<"number of pixel "<<img._width*img._height*img._depth<<endl; |
|
273 |
|
|
274 |
file.close(); |
|
275 |
return 0; |
|
276 |
} |
Formats disponibles : Unified diff