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/* Copyright (c) 2008-2022 the MRtrix3 contributors.
*
* This Source Code Form is subject to the terms of the Mozilla Public
* License, v. 2.0. If a copy of the MPL was not distributed with this
* file, You can obtain one at http://mozilla.org/MPL/2.0/.
*
* Covered Software is provided under this License on an "as is"
* basis, without warranty of any kind, either expressed, implied, or
* statutory, including, without limitation, warranties that the
* Covered Software is free of defects, merchantable, fit for a
* particular purpose or non-infringing.
* See the Mozilla Public License v. 2.0 for more details.
*
* For more details, see http://www.mrtrix.org/.
*/
#ifndef __image_check__h__
#define __image_check__h__
#include <set>
#include "image_helpers.h"
#include "algo/loop.h"
namespace MR
{
//! check image headers are the same (dimensions, spacing & transform)
template <class HeaderType1, class HeaderType2>
inline void check_headers (HeaderType1& in1, HeaderType2& in2)
{
check_dimensions (in1, in2);
for (size_t i = 0; i < in1.ndim(); ++i) {
if (std::isfinite (in1.spacing(i)))
if (abs ((in1.spacing(i) - in2.spacing(i)) / (in1.spacing(i) + in2.spacing(i))) > 1e-4)
throw Exception ("images \"" + in1.name() + "\" and \"" + in2.name() + "\" do not have matching voxel spacings on axis " + str(i) +
" (" + str(in1.spacing(i)) + " vs " + str(in2.spacing(i)) + ")");
}
for (size_t i = 0; i < 3; ++i) {
for (size_t j = 0; j < 4; ++j) {
if (abs (in1.transform().matrix()(i,j) - in2.transform().matrix()(i,j)) > 0.001)
throw Exception ("images \"" + in1.name() + "\" and \"" + in2.name() + "\" do not have matching header transforms:\n" +
str(in1.transform().matrix()) + "\nvs:\n " + str(in2.transform().matrix()) + ")");
}
}
}
//! check images are the same within a absolute tolerance
template <class ImageType1, class ImageType2>
inline void check_images_abs (ImageType1& in1, ImageType2& in2, const double tol = 0.0)
{
check_headers (in1, in2);
ThreadedLoop (in1)
.run ([&tol] (const ImageType1& a, const ImageType2& b) {
if (abs (cdouble (a.value()) - cdouble (b.value())) > tol)
throw Exception ("images \"" + a.name() + "\" and \"" + b.name() + "\" do not match within absolute precision of " + str(tol)
+ " (" + str(cdouble (a.value())) + " vs " + str(cdouble (b.value())) + ")");
}, in1, in2);
}
//! check images are the same within a fractional tolerance
template <class ImageType1, class ImageType2>
inline void check_images_frac (ImageType1& in1, ImageType2& in2, const double tol = 0.0) {
check_headers (in1, in2);
ThreadedLoop (in1)
.run ([&tol] (const ImageType1& a, const ImageType2& b) {
if (abs ((cdouble (a.value()) - cdouble (b.value())) / (0.5 * (cdouble (a.value()) + cdouble (b.value())))) > tol)
throw Exception ("images \"" + a.name() + "\" and \"" + b.name() + "\" do not match within fractional precision of " + str(tol)
+ " (" + str(cdouble (a.value())) + " vs " + str(cdouble (b.value())) + ")");
}, in1, in2);
}
//! check images are the same within a tolerance defined by a third image
template <class ImageType1, class ImageType2, class ImageTypeTol>
inline void check_images_tolimage (ImageType1& in1, ImageType2& in2, ImageTypeTol& tol) {
check_headers (in1, in2);
check_headers (in1, tol);
ThreadedLoop (in1)
.run ([] (const ImageType1& a, const ImageType2& b, const ImageTypeTol& t) {
if (abs (cdouble (a.value()) - cdouble (b.value())) > t.value())
throw Exception ("images \"" + a.name() + "\" and \"" + b.name() + "\" do not match within precision of \"" + t.name() + "\""
+ " (" + str(cdouble (a.value())) + " vs " + str(cdouble (b.value())) + ", tolerance " + str(t.value()) + ")");
}, in1, in2, tol);
}
//! check images are the same within a fractional tolerance relative to the maximum value in the voxel
template <class ImageType1, class ImageType2>
inline void check_images_voxel (ImageType1& in1, ImageType2& in2, const double tol = 0.0)
{
auto func = [&tol] (decltype(in1)& a, decltype(in2)& b) {
double maxa = 0.0, maxb = 0.0;
for (auto l = Loop(3) (a, b); l; ++l) {
maxa = std::max (maxa, abs (cdouble(a.value())));
maxb = std::max (maxb, abs (cdouble(b.value())));
}
const double threshold = tol * 0.5 * (maxa + maxb);
for (auto l = Loop(3) (a, b); l; ++l) {
if (abs (cdouble (a.value()) - cdouble (b.value())) > threshold)
throw Exception ("images \"" + a.name() + "\" and \"" + b.name() + "\" do not match within " + str(tol) + " of maximal voxel value"
+ " (" + str(cdouble (a.value())) + " vs " + str(cdouble (b.value())) + ")");
}
};
ThreadedLoop (in1, 0, 3).run (func, in1, in2);
}
//! check headers contain the same key-value entries
template <class HeaderType1, class HeaderType2>
inline void check_keyvals (const HeaderType1& in1, const HeaderType2& in2)
{
const static std::set<std::string> reserved { "command_history", "mrtrix_version", "project_version" };
auto it1 = in1.keyval().cbegin();
auto it2 = in2.keyval().cbegin();
Exception errors;
while (it1 != in1.keyval().end() || it2 != in2.keyval().end()) {
while (it1 != in1.keyval().end() && reserved.find (it1->first) != reserved.end())
++it1;
while (it2 != in2.keyval().end() && reserved.find (it2->first) != reserved.end())
++it2;
if (it1 == in1.keyval().end() || it2 == in2.keyval().end())
break;
if (it1 == in1.keyval().end()) {
errors.push_back ("Key \"" + it2->first + "\" in image \"" + in2.name() + "\" not present in \"" + in1.name() + "\"");
++it2;
}
else if (it2 == in2.keyval().end()) {
errors.push_back ("Key \"" + it1->first + "\" in image \"" + in1.name() + "\" not present in \"" + in2.name() + "\"");
++it1;
}
else if (it1->first < it2->first) {
errors.push_back ("Key \"" + it1->first + "\" in image \"" + in1.name() + "\" not present in \"" + in2.name() + "\"");
++it1;
}
else if (it1->first > it2->first) {
errors.push_back ("Key \"" + it2->first + "\" in image \"" + in2.name() + "\" not present in \"" + in1.name() + "\"");
++it2;
}
else {
if (it1->second != it2->second)
errors.push_back ("Key \"" + it1->first + "\" has different values between images");
++it1;
++it2;
}
}
if (errors.num() > 0)
throw errors;
}
//! check image headers are the same (dimensions, spacing & transform)
template <class HeaderType1, class HeaderType2>
inline bool headers_match (HeaderType1& in1, HeaderType2& in2)
{
if (!dimensions_match (in1, in2))
return false;
if (!spacings_match (in1, in2, 1e-6)) // implicitly checked in voxel_grids_match_in_scanner_space but with different tolerance
return false;
if (!voxel_grids_match_in_scanner_space (in1, in2))
return false;
return true;
}
//! check images are the same within a absolute tolerance
template <class ImageType1, class ImageType2>
inline bool images_match_abs (ImageType1& in1, ImageType2& in2, const double tol = 0.0)
{
if (!headers_match (in1, in2))
return false;
for (auto i = Loop (in1)(in1, in2); i; ++i)
if (abs (cdouble (in1.value()) - cdouble (in2.value())) > tol)
return false;
return true;
}
}
#endif
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