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/* */
/* Copyright 2002-2004 by Ullrich Koethe */
/* */
/* This file is part of the VIGRA computer vision library. */
/* The VIGRA Website is */
/* http://hci.iwr.uni-heidelberg.de/vigra/ */
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/* vigra@informatik.uni-hamburg.de */
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/* obtaining a copy of this software and associated documentation */
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/* Software is furnished to do so, subject to the following */
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/* The above copyright notice and this permission notice shall be */
/* included in all copies or substantial portions of the */
/* Software. */
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/* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND */
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/* */
/************************************************************************/
#ifndef VIGRA_TENSORUTILITIES_HXX
#define VIGRA_TENSORUTILITIES_HXX
#include <cmath>
#include "utilities.hxx"
#include "mathutil.hxx"
namespace vigra {
/** \addtogroup TensorImaging Tensor Image Processing
*/
//@{
/********************************************************/
/* */
/* vectorToTensor */
/* */
/********************************************************/
/** \brief Calculate the tensor (outer) product of a 2D vector with itself.
This function is useful to transform vector images into a tensor representation
that can be used as input to tensor based processing and analysis functions
(e.g. tensor smoothing). The input pixel type must be vectors of length 2, whereas
the output must contain vectors of length 3 which will represent the tensor components
in the order t11, t12 (== t21 due to symmetry), t22.
<b>Note:</b> In order to account for the left-handedness of the image coordinate system,
the second tensor component (t12) can be negated by setting <tt>negateComponent2 = false</tt>.
Angles will then be interpreted counter-clockwise rather than clockwise. By default,
this behavior is switched off.
<b> Declarations:</b>
pass arguments explicitly:
\code
namespace vigra {
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void vectorToTensor(SrcIterator sul, SrcIterator slr, SrcAccessor src,
DestIterator dul, DestAccessor dest,
bool negateComponent2 = false);
}
\endcode
use argument objects in conjunction with \ref ArgumentObjectFactories :
\code
namespace vigra {
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void vectorToTensor(triple<SrcIterator, SrcIterator, SrcAccessor> s,
pair<DestIterator, DestAccessor> d,
bool negateComponent2 = false);
}
\endcode
<b> Usage:</b>
<b>\#include</b> \<vigra/tensorutilities.hxx\>
\code
FImage img(w,h);
FVector2Image gradient(w,h);
FVector3Image tensor(w,h);
gaussianGradient(srcImageRange(img), destImage(gradient), 2.0);
vectorToTensor(srcImageRange(gradient), destImage(tensor));
\endcode
*/
doxygen_overloaded_function(template <...> void vectorToTensor)
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void vectorToTensor(SrcIterator sul, SrcIterator slr, SrcAccessor src,
DestIterator dul, DestAccessor dest,
bool negateComponent2)
{
vigra_precondition(src.size(sul) == 2,
"vectorToTensor(): input image must have 2 bands.");
vigra_precondition(dest.size(dul) == 3,
"vectorToTensor(): output image must have 3 bands.");
int w = slr.x - sul.x;
int h = slr.y - sul.y;
for(int y=0; y<h; ++y, ++sul.y, ++dul.y)
{
typename SrcIterator::row_iterator s = sul.rowIterator();
typename SrcIterator::row_iterator send = s + w;
typename DestIterator::row_iterator d = dul.rowIterator();
if(negateComponent2)
{
for(; s < send; ++s, ++d)
{
dest.setComponent(sq(src.getComponent(s, 0)), d, 0);
dest.setComponent(-src.getComponent(s, 0)*src.getComponent(s, 1), d, 1);
// ^ negative sign to turn left-handed into right-handed coordinates
dest.setComponent(sq(src.getComponent(s, 1)), d, 2);
}
}
else
{
for(; s < send; ++s, ++d)
{
dest.setComponent(sq(src.getComponent(s, 0)), d, 0);
dest.setComponent(src.getComponent(s, 0)*src.getComponent(s, 1), d, 1);
dest.setComponent(sq(src.getComponent(s, 1)), d, 2);
}
}
}
}
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
inline
void vectorToTensor(SrcIterator sul, SrcIterator slr, SrcAccessor src,
DestIterator dul, DestAccessor dest)
{
vectorToTensor(sul, slr, src, dul, dest, false);
}
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
inline
void vectorToTensor(triple<SrcIterator, SrcIterator, SrcAccessor> s,
pair<DestIterator, DestAccessor> d,
bool negateComponent2)
{
vectorToTensor(s.first, s.second, s.third, d.first, d.second, negateComponent2);
}
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
inline
void vectorToTensor(triple<SrcIterator, SrcIterator, SrcAccessor> s,
pair<DestIterator, DestAccessor> d)
{
vectorToTensor(s.first, s.second, s.third, d.first, d.second, false);
}
/********************************************************/
/* */
/* tensorEigenRepresentation */
/* */
/********************************************************/
/** \brief Calculate eigen representation of a symmetric 2x2 tensor.
This function turns a 3-band image representing the tensor components
t11, t12 (== t21 due to symmetry), t22 into the a 3-band image holding the eigen
representation e1, e2, and angle, where e1 \> e2. When the tensor is
defined in a left-handed coordinate system (the default on images), the angle will
then be given in clockwise orientation, starting at the x-axis. Otherwise, it
will be given in counter-clockwise orientation.
<b> Declarations:</b>
pass arguments explicitly:
\code
namespace vigra {
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void tensorEigenRepresentation(SrcIterator sul, SrcIterator slr, SrcAccessor src,
DestIterator dul, DestAccessor dest);
}
\endcode
use argument objects in conjunction with \ref ArgumentObjectFactories :
\code
namespace vigra {
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void tensorEigenRepresentation(triple<SrcIterator, SrcIterator, SrcAccessor> s,
pair<DestIterator, DestAccessor> d);
}
\endcode
<b> Usage:</b>
<b>\#include</b> \<vigra/tensorutilities.hxx\>
\code
FVector3Image tensor(w,h);
FVector3Image eigen(w,h);
tensorEigenRepresentation(srcImageRange(tensor), destImage(eigen));
\endcode
*/
doxygen_overloaded_function(template <...> void tensorEigenRepresentation)
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void tensorEigenRepresentation(SrcIterator sul, SrcIterator slr, SrcAccessor src,
DestIterator dul, DestAccessor dest)
{
vigra_precondition(src.size(sul) == 3,
"tensorEigenRepresentation(): input image must have 3 bands.");
vigra_precondition(dest.size(dul) == 3,
"tensorEigenRepresentation(): output image must have 3 bands.");
int w = slr.x - sul.x;
int h = slr.y - sul.y;
for(int y=0; y<h; ++y, ++sul.y, ++dul.y)
{
typename SrcIterator::row_iterator s = sul.rowIterator();
typename SrcIterator::row_iterator send = s + w;
typename DestIterator::row_iterator d = dul.rowIterator();
for(; s < send; ++s, ++d)
{
typedef typename
NumericTraits<typename SrcAccessor::component_type>::RealPromote TmpType;
TmpType d1 = src.getComponent(s,0) + src.getComponent(s,2);
TmpType d2 = src.getComponent(s,0) - src.getComponent(s,2);
TmpType d3 = TmpType(2.0) * src.getComponent(s,1);
TmpType d4 = (TmpType)hypot(d2, d3);
dest.setComponent(0.5 * (d1 + d4), d, 0); // large EV
dest.setComponent(0.5 * (d1 - d4), d, 1); // small EV
if(d2==0.0 && d3==0.0)
{
dest.setComponent(0, d, 2); // orientation
}
else
{
dest.setComponent(0.5 * VIGRA_CSTD::atan2(d3, d2), d, 2); // orientation
}
}
}
}
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
inline
void tensorEigenRepresentation(triple<SrcIterator, SrcIterator, SrcAccessor> s,
pair<DestIterator, DestAccessor> d)
{
tensorEigenRepresentation(s.first, s.second, s.third, d.first, d.second);
}
/********************************************************/
/* */
/* tensorTrace */
/* */
/********************************************************/
/** \brief Calculate the trace of a 2x2 tensor.
This function turns a 3-band image representing the tensor components
t11, t12 (== t21 due to symmetry), t22 into the a 1-band image holding the
tensor trace t11 + t22.
<b> Declarations:</b>
pass arguments explicitly:
\code
namespace vigra {
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void tensorTrace(SrcIterator sul, SrcIterator slr, SrcAccessor src,
DestIterator dul, DestAccessor dest);
}
\endcode
use argument objects in conjunction with \ref ArgumentObjectFactories :
\code
namespace vigra {
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void tensorTrace(triple<SrcIterator, SrcIterator, SrcAccessor> s,
pair<DestIterator, DestAccessor> d);
}
\endcode
<b> Usage:</b>
<b>\#include</b> \<vigra/tensorutilities.hxx\>
\code
FVector3Image tensor(w,h);
FImage trace(w,h);
tensorTrace(srcImageRange(tensor), destImage(trace));
\endcode
*/
doxygen_overloaded_function(template <...> void tensorTrace)
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void tensorTrace(SrcIterator sul, SrcIterator slr, SrcAccessor src,
DestIterator dul, DestAccessor dest)
{
vigra_precondition(src.size(sul) == 3,
"tensorTrace(): input image must have 3 bands.");
int w = slr.x - sul.x;
int h = slr.y - sul.y;
for(int y=0; y<h; ++y, ++sul.y, ++dul.y)
{
typename SrcIterator::row_iterator s = sul.rowIterator();
typename SrcIterator::row_iterator send = s + w;
typename DestIterator::row_iterator d = dul.rowIterator();
for(; s < send; ++s, ++d)
{
dest.set(src.getComponent(s,0) + src.getComponent(s,2), d);
}
}
}
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
inline
void tensorTrace(triple<SrcIterator, SrcIterator, SrcAccessor> s,
pair<DestIterator, DestAccessor> d)
{
tensorTrace(s.first, s.second, s.third, d.first, d.second);
}
/********************************************************/
/* */
/* tensorToEdgeCorner */
/* */
/********************************************************/
/** \brief Decompose a symmetric 2x2 tensor into its edge and corner parts.
This function turns a 3-band image representing the tensor components
t11, t12 (== t21 due to symmetry), t22 into the a 2-band image holding
the tensor's edgeness (difference of the tensor's
eigenvalues) and orientation, and a 1-band image representing its corner part
(equal to the twice the small eigen value). The original tensor must be
positive definite and defined in a right-handed coordinate system (e.g.
the tensor resulting from \ref boundaryTensor()).
<b> Declarations:</b>
pass arguments explicitly:
\code
namespace vigra {
template <class SrcIterator, class SrcAccessor,
class DestIterator1, class DestAccessor1,
class DestIterator2, class DestAccessor2>
void tensorToEdgeCorner(SrcIterator sul, SrcIterator slr, SrcAccessor src,
DestIterator1 edgeul, DestAccessor1 edge,
DestIterator2 cornerul, DestAccessor2 corner);
}
\endcode
use argument objects in conjunction with \ref ArgumentObjectFactories :
\code
namespace vigra {
template <class SrcIterator, class SrcAccessor,
class DestIterator1, class DestAccessor1,
class DestIterator2, class DestAccessor2>
void tensorToEdgeCorner(triple<SrcIterator, SrcIterator, SrcAccessor> s,
pair<DestIterator1, DestAccessor1> edge,
pair<DestIterator2, DestAccessor2> corner);
}
\endcode
<b> Usage:</b>
<b>\#include</b> \<vigra/tensorutilities.hxx\>
\code
FVector3Image tensor(w,h);
FVector2Image edgePart(w,h);
FImage cornerPart(w,h);
tensorTrace(srcImageRange(tensor), destImage(edgePart), destImage(cornerPart));
\endcode
*/
doxygen_overloaded_function(template <...> void tensorToEdgeCorner)
template <class SrcIterator, class SrcAccessor,
class DestIterator1, class DestAccessor1,
class DestIterator2, class DestAccessor2>
void tensorToEdgeCorner(SrcIterator sul, SrcIterator slr, SrcAccessor src,
DestIterator1 edgeul, DestAccessor1 edge,
DestIterator2 cornerul, DestAccessor2 corner)
{
vigra_precondition(src.size(sul) == 3,
"tensorToEdgeCorner(): input image must have 3 bands.");
vigra_precondition(edge.size(edgeul) == 2,
"tensorToEdgeCorner(): edge image must have 2 bands.");
int w = slr.x - sul.x;
int h = slr.y - sul.y;
for(int y=0; y<h; ++y, ++sul.y, ++edgeul.y, ++cornerul.y)
{
typename SrcIterator::row_iterator s = sul.rowIterator();
typename SrcIterator::row_iterator send = s + w;
typename DestIterator1::row_iterator e = edgeul.rowIterator();
typename DestIterator2::row_iterator c = cornerul.rowIterator();
for(; s < send; ++s, ++e, ++c)
{
typedef typename
NumericTraits<typename SrcAccessor::component_type>::RealPromote TmpType;
TmpType d1 = src.getComponent(s,0) + src.getComponent(s,2);
TmpType d2 = src.getComponent(s,0) - src.getComponent(s,2);
TmpType d3 = 2.0 * src.getComponent(s,1);
TmpType d4 = (TmpType)hypot(d2, d3);
edge.setComponent(d4, e, 0); // edgeness = difference of EVs
if(d2 == 0.0 && d3 == 0.0)
{
edge.setComponent(0.0, e, 1); // orientation
}
else
{
edge.setComponent(0.5 * VIGRA_CSTD::atan2(d3, d2), e, 1); // orientation
}
corner.set(d1 - d4, c); // cornerness = 2 * small EV
}
}
}
template <class SrcIterator, class SrcAccessor,
class DestIterator1, class DestAccessor1,
class DestIterator2, class DestAccessor2>
inline
void tensorToEdgeCorner(triple<SrcIterator, SrcIterator, SrcAccessor> s,
pair<DestIterator1, DestAccessor1> edge,
pair<DestIterator2, DestAccessor2> corner)
{
tensorToEdgeCorner(s.first, s.second, s.third,
edge.first, edge.second, corner.first, corner.second);
}
//@}
} // namespace vigra
#endif /* VIGRA_TENSORUTILITIES_HXX */
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