int main()
{
// Domain
CGAL::Image_3 image;
image.read("data/liver.inr.gz");
Mesh_domain domain(image);
// Mesh criteria
Mesh_criteria criteria(facet_angle=30, facet_size=5, facet_distance=1.5,
cell_radius_edge_ratio=2, cell_size=7);
// Mesh generation and optimization in one call (sliver_bound is the
// targeted dihedral angle in degree)
C3t3 c3t3 = CGAL::make_mesh_3<C3t3>(domain, criteria,
no_exude(),
perturb(sliver_bound=10, time_limit=15));
// Mesh generation and optimization in several call
C3t3 c3t3_bis = CGAL::make_mesh_3<C3t3>(domain, criteria,
no_perturb(), no_exude());
CGAL::perturb_mesh_3(c3t3_bis, domain, time_limit=15);
// Output
std::ofstream medit_file("out.mesh");
c3t3.output_to_medit(medit_file);
std::ofstream medit_file_bis("out_bis.mesh");
c3t3_bis.output_to_medit(medit_file_bis);
return 0;
}
int main()
{
// Loads image
CGAL::Image_3 image;
image.read("data/liver.inr.gz");
// Domain
Mesh_domain domain(image);
// Sizing field: set global size to 8 and kidney size (label 127) to 3
double kidney_size = 3.;
int volume_dimension = 3;
Sizing_field size(8);
size.set_size(kidney_size, volume_dimension,
domain.index_from_subdomain_index(127));
// Mesh criteria
Mesh_criteria criteria(facet_angle=30, facet_size=6, facet_distance=2,
cell_radius_edge_ratio=3, cell_size=size);
// Meshing
C3t3 c3t3 = CGAL::make_mesh_3<C3t3>(domain, criteria);
// Output
std::ofstream medit_file("out.mesh");
c3t3.output_to_medit(medit_file);
return 0;
}
int main(int argc, char* argv[])
{
/// [Loads image]
const char* fname = (argc>1)?argv[1]:"data/liver.inr.gz";
CGAL::Image_3 image;
if(!image.read(fname)){
std::cerr << "Error: Cannot read file " << fname << std::endl;
return EXIT_FAILURE;
}
/// [Loads image]
// Domain
Mesh_domain domain(image);
// Mesh criteria
Mesh_criteria criteria(facet_angle=30, facet_size=6, facet_distance=4,
cell_radius_edge_ratio=3, cell_size=8);
/// [Meshing]
C3t3 c3t3 = CGAL::make_mesh_3<C3t3>(domain, criteria);
/// [Meshing]
// Output
std::ofstream medit_file("out.mesh");
c3t3.output_to_medit(medit_file);
return 0;
}
int main()
{
// Domain
CGAL::Image_3 image;
image.read("data/liver.inr.gz");
Mesh_domain domain(image);
// Mesh criteria
Mesh_criteria criteria(facet_angle=30, facet_distance=1.2,
cell_radius_edge_ratio=2);
// Mesh generation and optimization in one call
C3t3 c3t3 = CGAL::make_mesh_3<C3t3>(domain, criteria,
lloyd(time_limit=30),
no_perturb(),
exude(time_limit=10, sliver_bound=10));
// Mesh generation and optimization in several call
C3t3 c3t3_bis = CGAL::make_mesh_3<C3t3>(domain, criteria,
no_perturb(), no_exude());
CGAL::lloyd_optimize_mesh_3(c3t3_bis, domain, time_limit=30);
CGAL::exude_mesh_3(c3t3_bis, sliver_bound=10, time_limit=10);
// Output
std::ofstream medit_file("out.mesh");
c3t3.output_to_medit(medit_file);
std::ofstream medit_file_bis("out_bis.mesh");
c3t3_bis.output_to_medit(medit_file_bis);
return 0;
}
int main(int argc, char* argv[])
{
const char* fname = (argc>1)?argv[1]:"data/liver.inr.gz";
// Loads image
CGAL::Image_3 image;
if(!image.read(fname)){
std::cerr << "Error: Cannot read file " << fname << std::endl;
return EXIT_FAILURE;
}
// Domain
Mesh_domain domain = Mesh_domain::create_labeled_image_mesh_domain(image);
// Sizing field: set global size to 8 and kidney size (label 127) to 3
double kidney_size = 3.;
int volume_dimension = 3;
Sizing_field size(8);
size.set_size(kidney_size, volume_dimension,
domain.index_from_subdomain_index(127));
// Mesh criteria
Mesh_criteria criteria(facet_angle=30, facet_size=6, facet_distance=2,
cell_radius_edge_ratio=3, cell_size=size);
// Meshing
C3t3 c3t3 = CGAL::make_mesh_3<C3t3>(domain, criteria);
// Output
std::ofstream medit_file("out.mesh");
c3t3.output_to_medit(medit_file);
return 0;
}
int main()
{
// Loads image
CGAL::Image_3 image;
image.read ( "p.bmp" );
// Domain
Mesh_domain domain ( image );
// Mesh criteria
Mesh_criteria criteria ( facet_angle=30, facet_size=6, facet_distance=4,
cell_radius_edge_ratio=3, cell_size=8 );
// Meshing
C3t3 c3t3 = CGAL::make_mesh_3<C3t3> ( domain, criteria );
// Output
std::ofstream medit_file ( "out.mesh" );
c3t3.output_to_medit ( medit_file );
return 0;
}
int main()
{
// Loads image
CGAL::Image_3 image;
if(!image.read("data/skull_2.9.inr")) return 1;
// Domain
Mesh_domain domain(image, std::bind1st(std::less<Image_word_type>(), 2.9f), 0.f);
// Mesh criteria
Mesh_criteria criteria(facet_angle=30, facet_size=6, facet_distance=2,
cell_radius_edge_ratio=3, cell_size=8);
// Meshing
C3t3 c3t3 = CGAL::make_mesh_3<C3t3>(domain, criteria);
// Output
std::ofstream medit_file("out.mesh");
c3t3.output_to_medit(medit_file);
return 0;
}
int main(int argc, char*argv[])
{
const char* fname = (argc>1)?argv[1]:"data/liver.inr.gz";
// Domain
CGAL::Image_3 image;
if(!image.read(fname)){
std::cerr << "Error: Cannot read file " << fname << std::endl;
return EXIT_FAILURE;
}
Mesh_domain domain = Mesh_domain::create_labeled_image_mesh_domain(image);
// Mesh criteria
Mesh_criteria criteria(facet_angle=30, facet_distance=1.2,
cell_radius_edge_ratio=2);
// Mesh generation and optimization in one call
C3t3 c3t3 = CGAL::make_mesh_3<C3t3>(domain, criteria,
lloyd(time_limit=30),
no_perturb(),
exude(time_limit=10, sliver_bound=10));
// Mesh generation and optimization in several call
C3t3 c3t3_bis = CGAL::make_mesh_3<C3t3>(domain, criteria,
no_perturb(), no_exude());
CGAL::lloyd_optimize_mesh_3(c3t3_bis, domain, time_limit=30);
CGAL::exude_mesh_3(c3t3_bis, sliver_bound=10, time_limit=10);
// Output
std::ofstream medit_file("out.mesh");
c3t3.output_to_medit(medit_file);
std::ofstream medit_file_bis("out_bis.mesh");
c3t3_bis.output_to_medit(medit_file_bis);
return 0;
}
int main(int argc, char* argv[])
{
const char* fname = (argc>1)?argv[1]:"data/420.inr";
// Loads image
CGAL::Image_3 image;
if(!image.read(fname)){
std::cerr << "Error: Cannot read file " << fname << std::endl;
return EXIT_FAILURE;
}
// Domain
Mesh_domain domain(image);
/// Declare 1D-features, see above [Call add_1D_features]
const char* lines_fname = (argc>2)?argv[2]:"data/420.polylines.txt";
if(!add_1D_features(image, domain, lines_fname)) {
return EXIT_FAILURE;
}
/// [Call add_1D_features]
/// Note that `edge_size` is needed with 1D-features [Mesh criteria]
Mesh_criteria criteria(edge_size=6,
facet_angle=30, facet_size=6, facet_distance=4,
cell_radius_edge_ratio=3, cell_size=8);
/// [Mesh criteria]
// Meshing
C3t3 c3t3 = CGAL::make_mesh_3<C3t3>(domain, criteria);
// Output
std::ofstream medit_file("out.mesh");
c3t3.output_to_medit(medit_file);
return 0;
}
int main(int argc, char** argv)
{
QApplication app(argc, argv);
if(argc != 3)
usage_and_exit(argv[0]);
QVTKWidget widget;
widget.resize(256,256);
#if QT_VERSION < 0x040000
app.setMainWidget(&widget);
#endif
CGAL::Image_3 image;
if(!image.read(argv[1]))
{
std::cerr << "Cannot read image file \"" << argv[1] << "\"!\n";
usage_and_exit(argv[0]);
}
std::stringstream argv2;
argv2 << argv[2];
double isovalue;
if(!(argv2 >> isovalue))
{
std::cerr << "Invalid iso-value \"" << argv[2] << "\"!\n";
usage_and_exit(argv[0]);
}
vtkImageData* vtk_image = CGAL::vtk_image_sharing_same_data_pointer(image);
vtkRenderer *aRenderer = vtkRenderer::New();
vtkRenderWindow *renWin = vtkRenderWindow::New();
renWin->AddRenderer(aRenderer);
widget.SetRenderWindow(renWin);
vtkContourFilter *skinExtractor = vtkContourFilter::New();
skinExtractor->SetInputData(vtk_image);
skinExtractor->SetValue(0, isovalue);
// skinExtractor->SetComputeNormals(0);
vtkPolyDataNormals *skinNormals = vtkPolyDataNormals::New();
skinNormals->SetInputConnection(skinExtractor->GetOutputPort());
skinNormals->SetFeatureAngle(60.0);
vtkPolyDataMapper *skinMapper = vtkPolyDataMapper::New();
skinMapper->SetInputConnection(skinExtractor->GetOutputPort());
skinMapper->ScalarVisibilityOff();
vtkActor *skin = vtkActor::New();
skin->SetMapper(skinMapper);
// An outline provides context around the data.
//
vtkOutlineFilter *outlineData = vtkOutlineFilter::New();
outlineData->SetInputData(vtk_image);
vtkPolyDataMapper *mapOutline = vtkPolyDataMapper::New();
mapOutline->SetInputConnection(outlineData->GetOutputPort());
vtkActor *outline = vtkActor::New();
outline->SetMapper(mapOutline);
outline->GetProperty()->SetColor(0,0,0);
// It is convenient to create an initial view of the data. The FocalPoint
// and Position form a vector direction. Later on (ResetCamera() method)
// this vector is used to position the camera to look at the data in
// this direction.
vtkCamera *aCamera = vtkCamera::New();
aCamera->SetViewUp (0, 0, -1);
aCamera->SetPosition (0, 1, 0);
aCamera->SetFocalPoint (0, 0, 0);
aCamera->ComputeViewPlaneNormal();
// Actors are added to the renderer. An initial camera view is created.
// The Dolly() method moves the camera towards the FocalPoint,
// thereby enlarging the image.
aRenderer->AddActor(outline);
aRenderer->AddActor(skin);
aRenderer->SetActiveCamera(aCamera);
aRenderer->ResetCamera ();
aCamera->Dolly(1.5);
// Set a background color for the renderer and set the size of the
// render window (expressed in pixels).
aRenderer->SetBackground(1,1,1);
renWin->SetSize(640, 480);
// Note that when camera movement occurs (as it does in the Dolly()
// method), the clipping planes often need adjusting. Clipping planes
// consist of two planes: near and far along the view direction. The
// near plane clips out objects in front of the plane; the far plane
// clips out objects behind the plane. This way only what is drawn
// between the planes is actually rendered.
aRenderer->ResetCameraClippingRange ();
// Initialize the event loop and then start it.
// iren->Initialize();
// iren->Start();
// It is important to delete all objects created previously to prevent
// memory leaks. In this case, since the program is on its way to
// exiting, it is not so important. But in applications it is
// essential.
vtk_image->Delete();
skinExtractor->Delete();
skinNormals->Delete();
skinMapper->Delete();
skin->Delete();
outlineData->Delete();
mapOutline->Delete();
outline->Delete();
aCamera->Delete();
// iren->Delete();
renWin->Delete();
aRenderer->Delete();
widget.show();
app.exec();
return 0;
}
int main()
{
// Loads image
CGAL::Image_3 image;
// Read input file with parameters
Input p;
p.load_file_elliptic_electrodes();
// Reading image file
std::cout<<"\n Reading the Image file... ";
image.read("input.inr");
// Domain
Mesh_domain domain(image);
//Define Sizing field
Point or(image.vx () * image.xdim ()/2,
image.vy () * image.ydim ()/2,
image.vz () * image.zdim ()/2); //origin
FILE *F;
try { F=fopen("electrodes_human.txt","r");}
catch (exception& e) { cout << e.what() << endl;}
sizing_field_elliptic_electrodes size_e (or,F,image.vx(),image.vy(),image.vz());
if (F!=NULL) fclose(F);
size_e.coarse_size=p.ccs;
size_e.fine_size=p.cs;
size_e.preserve=p.pres; //Elliptic
size_e.e_R=p.e_R; //2* to secure fit of the electrode
size_e.electrode_size=p.e_size;//Planar gradient with electrodes -- size of the mesh near electrodes
// Mesh criteria: faces and cells
Mesh_criteria criteria(facet_angle=p.fa, facet_size=size_e, facet_distance=p.fd,
cell_radius_edge_ratio=p.cre, cell_size=size_e);
// Meshing
std::cout<<"\n Meshing with initial mesh...";
C3t3 c3t3= CGAL::make_mesh_3<C3t3>(domain, criteria, CGAL::parameters::features(domain),
CGAL::parameters::no_lloyd(), CGAL::parameters::no_odt(),
CGAL::parameters::no_perturb(),CGAL::parameters::no_exude());
//Optimisation
std::cout<<"\n Optimising: ";
if (p.if_perturb==1) {std::cout<<"\n Perturb... "; CGAL::perturb_mesh_3(c3t3, domain,sliver_bound=10, time_limit=p.time_lim);}
if (p.if_lloyd==1) {std::cout<<"\n Lloyd... ";CGAL::lloyd_optimize_mesh_3(c3t3, domain, time_limit=p.time_lim);}
if (p.if_odt==1) {std::cout<<"\n ODT... "; CGAL::odt_optimize_mesh_3(c3t3, domain, time_limit=p.time_lim);}
if (p.if_exude==1) {std::cout<<"\n Exude... "; CGAL::exude_mesh_3(c3t3, sliver_bound=10, time_limit=p.time_lim);}
// Output, you can use CGAL text format for that
/*std::cout<<"\n Saving the mesh... ";
std::ofstream medit_file("out.mesh");
c3t3.output_to_medit(medit_file);
medit_file.close();*/
//matlab output
std::cout<<"\n Saving the mesh into matlab file... ";
int save=save_matlab(c3t3);
std::cout<<"\n ALL DONE, press any key! :)";
getchar();
return 0;
}