/usr/include/CGAL/Image_3.h is in libcgal-dev 4.2-5ubuntu1.
This file is owned by root:root, with mode 0o644.
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// 2008 GeometryFactory
// All rights reserved.
//
// This file is part of CGAL (www.cgal.org); you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public License as
// published by the Free Software Foundation; either version 3 of the License,
// or (at your option) any later version.
//
// Licensees holding a valid commercial license may use this file in
// accordance with the commercial license agreement provided with the software.
//
// This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
// WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
//
// $URL$
// $Id$
//
//
// Author(s) : Laurent Rineau, Pierre Alliez
#ifndef CGAL_IMAGE_3_H
#define CGAL_IMAGE_3_H
#include <CGAL/basic.h>
#include <boost/shared_ptr.hpp>
#include <boost/format.hpp>
#include <CGAL/ImageIO.h>
#include <CGAL/function_objects.h>
#include <limits>
#include <set>
#if defined(BOOST_MSVC)
# pragma warning(push)
# pragma warning(disable:4244 4251) // double float conversion loss of data and dll linkage
#endif
class vtkImageData;
namespace CGAL {
namespace ImageIO {
template <typename T>
class Indicator : public std::unary_function<T, double>
{
const T label;
public:
Indicator(T i) : label(i) {};
double operator()(T x) const
{
return (x == label) ? 1. : 0.;
}
};
} // end namespace CGAL::ImageIO
class CGAL_IMAGEIO_EXPORT Image_3
{
struct Image_deleter {
void operator()(_image* image)
{
::_freeImage(image);
}
};
public:
typedef boost::shared_ptr<_image> Image_shared_ptr;
typedef Image_shared_ptr Pointer;
protected:
Image_shared_ptr image_ptr;
// implementation in src/CGAL_ImageIO/Image_3.cpp
bool private_read(_image* im);
public:
Image_3()
: image_ptr()
{
}
Image_3(const Image_3& bi)
: image_ptr(bi.image_ptr)
{
// std::cerr << "Image_3::copy_constructor\n";
}
Image_3(_image* im)
{
private_read(im);
}
~Image_3()
{
}
const _image* image() const
{
return image_ptr.get();
}
_image* image()
{
return image_ptr.get();
}
const void* data() const
{
return image()->data;
}
void* data()
{
return image()->data;
}
void set_data(void* d)
{
image()->data = d;
}
unsigned int xdim() const { return image_ptr->xdim; }
unsigned int ydim() const { return image_ptr->ydim; }
unsigned int zdim() const { return image_ptr->zdim; }
unsigned int size() const { return xdim() * ydim() * zdim(); }
double vx() const { return image_ptr->vx; }
double vy() const { return image_ptr->vy; }
double vz() const { return image_ptr->vz; }
float value(const unsigned int i,
const unsigned int j,
const unsigned int k) const
{
return ::evaluate(image(),i,j,k);
}
public:
bool read(const char* file)
{
return private_read(::_readImage(file));
}
bool read_raw(const char* file,
const unsigned int rx,
const unsigned int ry,
const unsigned int rz,
const double vx = 1,
const double vy = 1,
const double vz = 1,
const unsigned int offset = 0)
{
return private_read(::_readImage_raw(file,
rx,ry,rz,
vx,vy,vz,offset));
}
#ifdef CGAL_USE_VTK
bool read_vtk_image_data(vtkImageData*);
#endif // CGAL_USE_VTK
// implementation in src/CGAL_ImageIO/Image_3.cpp
void gl_draw(const float point_size,
const unsigned char r,
const unsigned char g,
const unsigned char b);
// implementation in src/CGAL_ImageIO/Image_3.cpp
void gl_draw_bbox(const float line_width,
const unsigned char red,
const unsigned char green,
const unsigned char blue);
public:
template <typename Image_word_type,
typename Target_word_type,
typename Coord_type,
class Image_transform>
Target_word_type
trilinear_interpolation(const Coord_type&x,
const Coord_type&y,
const Coord_type&z,
const Image_word_type& value_outside =
Image_word_type(),
Image_transform transform =
Image_transform() ) const;
// default Image_transform = CGAL::Identity
template <typename Image_word_type,
typename Target_word_type,
typename Coord_type>
Target_word_type
trilinear_interpolation(const Coord_type&x,
const Coord_type&y,
const Coord_type&z,
const Image_word_type& value_outside =
Image_word_type()) const
{
return trilinear_interpolation<
Image_word_type,
Target_word_type>(x, y, z, value_outside,
CGAL::Identity<Image_word_type>());
}
template <typename Image_word_type,
typename Coord_type>
Image_word_type
labellized_trilinear_interpolation(const Coord_type&x,
const Coord_type&y,
const Coord_type&z,
const Image_word_type& value_outside =
Image_word_type()) const;
}; // end Image_3
template <typename Image_word_type,
typename Target_word_type,
typename Coord_type,
class Image_transform>
Target_word_type
Image_3::trilinear_interpolation(const Coord_type& x,
const Coord_type& y,
const Coord_type& z,
const Image_word_type& value_outside,
Image_transform transform) const
{
// Check on double/float coordinates, because (int)-0.1 gives 0
if ( x < 0 || y < 0 || z < 0 ) return value_outside;
const Coord_type lx = x / image()->vx;
const Coord_type ly = y / image()->vy;
const Coord_type lz = z / image()->vz;
const int dimx = xdim();
const int dimy = ydim();
const int dimz = zdim();
const int dimxy = dimx*dimy;
if(lx < 0 ||
ly < 0 ||
lz < 0 ||
lz >= dimz-1 ||
ly >= dimy-1 ||
lx >= dimx-1)
{
return transform(value_outside);
}
// images are indexed by (z,y,x)
const int i1 = (int)(lz);
const int j1 = (int)(ly);
const int k1 = (int)(lx);
const int i2 = i1 + 1;
const int j2 = j1 + 1;
const int k2 = k1 + 1;
/* We assume (x,y,z) lies in the following cube.
* a, b, c, d, e, f, g, h are the value of the image at the corresponding
* voxels:
*
*
* x z
* | /
* f___ __ g
* /| /|
* e/_|____h/ |
* | | | |
* | |b___|_c|
* | / | /
* a|/_____d|/ _y
*
*
* a = val(i1, j1, k1)
* b = val(i2, j1, k1)
* c = val(i2, j2, k1)
* d = val(i1, j2, k1)
* e = val(i1, j1, k2)
* f = val(i2, j1, k2)
* g = val(i2, j2, k2)
* h = val(i1, j2, k2)
*/
Image_word_type* ptr = (Image_word_type*)image()->data;
ptr += i1 * dimxy + j1 * dimx + k1;
const Target_word_type a = transform(*ptr);
const Target_word_type e = transform(*(ptr+1));
ptr += dimxy; // i2 * dimxy + j1 * dimx + k1;
const Target_word_type b = transform(*ptr);
const Target_word_type f = transform(*(ptr+1));
ptr += dimx; // i2 * dimxy + j2 * dimx + k1
const Target_word_type c = transform(*ptr);
const Target_word_type g = transform(*(ptr+1));
ptr -= dimxy; // i1 * dimxy + j2 * dimx + k1
const Target_word_type d = transform(*ptr);
const Target_word_type h = transform(*(ptr+1));
// const Target_word_type a = ((Image_word_type*)image()->data)[i1 * dimxy + j1 * dimx + k1];
// const Target_word_type b = ((Image_word_type*)image()->data)[i2 * dimxy + j1 * dimx + k1];
// const Target_word_type c = ((Image_word_type*)image()->data)[i2 * dimxy + j2 * dimx + k1];
// const Target_word_type d = ((Image_word_type*)image()->data)[i1 * dimxy + j2 * dimx + k1];
// const Target_word_type e = ((Image_word_type*)image()->data)[i1 * dimxy + j1 * dimx + k2];
// const Target_word_type f = ((Image_word_type*)image()->data)[i2 * dimxy + j1 * dimx + k2];
// const Target_word_type g = ((Image_word_type*)image()->data)[i2 * dimxy + j2 * dimx + k2];
// const Target_word_type h = ((Image_word_type*)image()->data)[i1 * dimxy + j2 * dimx + k2];
// const Target_word_type outside = transform(value_outside);
// if(x < 0.f ||
// y < 0.f ||
// z < 0.f ||
// i1 >= dimz ||
// j1 >= dimy ||
// k1 >= dimx)
// {
// return outside;
// }
// Target_word_type a, b, c, d, e, f, g, h;
// if(k1 < 0) {
// a = b = c = d = outside;
// }
// else {
// if(j1 < 0) {
// a = b = outside;
// }
// else {
// if(i1 < 0)
// a = outside;
// else
// a = ((Image_word_type*)image()->data)[i1 * dimxy + j1 * dimx + k1];
// if(i2 >= dimz)
// b = outside;
// else
// b = ((Image_word_type*)image()->data)[i2 * dimxy + j1 * dimx + k1];
// }
// if(j2 >= dimy) {
// c = d = outside;
// }
// else {
// if(i1 < 0)
// d = outside;
// else
// d = ((Image_word_type*)image()->data)[i1 * dimxy + j2 * dimx + k1];
// if(i2 >= dimz)
// c = outside;
// else
// c = ((Image_word_type*)image()->data)[i2 * dimxy + j2 * dimx + k1];
// }
// }
// if(k2 >= dimx) {
// e = f = g = h = outside;
// }
// else {
// if(j1 < 0) {
// e = f = outside;
// }
// else {
// if(i1 < 0)
// e = outside;
// else
// e = ((Image_word_type*)image()->data)[i1 * dimxy + j1 * dimx + k2];
// if(i2 >= dimz)
// f = outside;
// else
// f = ((Image_word_type*)image()->data)[i2 * dimxy + j1 * dimx + k2];
// }
// if(j2 >= dimy) {
// g = h = outside;
// }
// else {
// if(i1 < 0)
// h = outside;
// else
// h = ((Image_word_type*)image()->data)[i1 * dimxy + j2 * dimx + k2];
// if(i2 >= dimz)
// g = outside;
// else
// g = ((Image_word_type*)image()->data)[i2 * dimxy + j2 * dimx + k2];
// }
// }
const Target_word_type di2 = i2 - lz;
const Target_word_type di1 = lz - i1;
const Target_word_type dj2 = j2 - ly;
const Target_word_type dj1 = ly - j1;
const Target_word_type dk2 = k2 - lx;
const Target_word_type dk1 = lx - k1;
// std::cerr << di2 << " " << di1 << "\n";
// std::cerr << dj2 << " " << dj1 << "\n";
// std::cerr << dk2 << " " << dk1 << "\n";
return ( ( ( a * di2 + b * di1 ) * dj2 +
( d * di2 + c * di1 ) * dj1 ) * dk2 +
( ( e * di2 + f * di1 ) * dj2 +
( h * di2 + g * di1 ) * dj1 ) * dk1 );
} // end trilinear_interpolation
template <typename Image_word_type,
typename Coord_type>
Image_word_type
Image_3::labellized_trilinear_interpolation(const Coord_type& x,
const Coord_type& y,
const Coord_type& z,
const Image_word_type& value_outside) const
{
// Check on double/float coordinates, because (int)-0.1 gives 0
if ( x < 0 || y < 0 || z < 0 ) return value_outside;
Coord_type lx = x / image()->vx;
Coord_type ly = y / image()->vy;
Coord_type lz = z / image()->vz;
const int dimx = xdim();
const int dimy = ydim();
const int dimz = zdim();
if( lx < 0 ||
ly < 0 ||
lz < 0 ||
lz >= dimz-1 ||
ly >= dimy-1 ||
lx >= dimx-1)
{
return value_outside;
}
// images are indexed by (z,y,x)
const int i1 = (int)(lz);
const int j1 = (int)(ly);
const int k1 = (int)(lx);
const int i2 = i1 + 1;
const int j2 = j1 + 1;
const int k2 = k1 + 1;
std::set<Image_word_type> labels;
labels.insert(((Image_word_type*)image()->data)[(i1 * dimy + j1) * dimx + k1]);
labels.insert(((Image_word_type*)image()->data)[(i1 * dimy + j1) * dimx + k2]);
labels.insert(((Image_word_type*)image()->data)[(i1 * dimy + j2) * dimx + k1]);
labels.insert(((Image_word_type*)image()->data)[(i1 * dimy + j2) * dimx + k2]);
labels.insert(((Image_word_type*)image()->data)[(i2 * dimy + j1) * dimx + k1]);
labels.insert(((Image_word_type*)image()->data)[(i2 * dimy + j1) * dimx + k2]);
labels.insert(((Image_word_type*)image()->data)[(i2 * dimy + j2) * dimx + k1]);
labels.insert(((Image_word_type*)image()->data)[(i2 * dimy + j2) * dimx + k2]);
CGAL_HISTOGRAM_PROFILER("Number of labels around a vertex, Image_3::labellized_trilinear_interpolation()", labels.size());
if(labels.size() == 1) {
return *(labels.begin());
}
typedef ImageIO::Indicator<Image_word_type> Indicator;
double best_value = 0.;
Image_word_type best = 0;
for(typename std::set<Image_word_type>::const_iterator
label_it = labels.begin(),
end = labels.end();
label_it != end; ++label_it)
{
const double r =
trilinear_interpolation<Image_word_type,double,Coord_type, Indicator>(
x, y, z, value_outside, Indicator(*label_it));
CGAL_assertion(r >= 0.);
CGAL_assertion(r <= 1.);
if(r > best_value) {
best = *label_it;
best_value = r;
}
}
// CGAL_assertion(best_value > 0.5);
return best;
}
} // end namespace CGAL
#if defined(BOOST_MSVC)
# pragma warning(pop)
#endif
#endif // CGAL_IMAGE_3_H
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