vigra - Algorithms to Transform Images

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| Algorithms to Transform Images |

## Functions
template<... >
void | gradientBasedTransform (...)
| Calculate a function of the image gradient. More...
template<... >
void | transformImage (...)
| Apply unary point transformation to each pixel. More...
template<... >
void | transformImageIf (...)
| Apply unary point transformation to each pixel within the ROI (i.e., where the mask is non-zero). More...

## Detailed Description

Apply functor to calculate a pixelwise transformation of one image

## Function Documentation

void vigra::transformImage | ( |  | ... | ) |

Apply unary point transformation to each pixel.

After the introduction of arithmetic and algebraic array expressions, this function is rarely needed. Moreover, transformMultiArray() provides the same functionality for arbitrary dimensional arrays.

The transformation given by the functor is applied to every source pixel and the result written into the corresponding destination pixel. Note that the unary functors of the STL can be used in addition to the functors specifically defined in Functors to Transform Images. Creation of new functors is easiest by using Functor Expressions.

Declarations:

pass 2D array views:

namespace vigra {
template <class T1, class S1,
class T2, class S2, class Functor>
void
transformImage(MultiArrayView<2, T1, S1> const & src,
MultiArrayView<2, T2, S2> dest,
Functor const & f);
}

show deprecated declarations

pass Image Iterators and Data Accessors :
namespace vigra {
template <class SrcImageIterator, class SrcAccessor,
class DestImageIterator, class DestAccessor, class Functor>
void
transformImage(SrcImageIterator src_upperleft,
SrcImageIterator src_lowerright, SrcAccessor sa,
DestImageIterator dest_upperleft, DestAccessor da,
Functor const & f)
}

use argument objects in conjunction with Argument Object Factories :

namespace vigra {
template <class SrcImageIterator, class SrcAccessor,
class DestImageIterator, class DestAccessor, class Functor>
void
transformImage(triple<SrcImageIterator, SrcImageIterator, SrcAccessor> src,
pair<DestImageIterator, DestAccessor> dest,
Functor const & f)
}

Usage:

#include <vigra/transformimage.hxx>
Namespace: vigra

#include <cmath> // for sqrt()
MultiArray<2, float> src(100, 200),
dest(100, 200);
...
transformImage(src, dest, &std::sqrt );

show deprecated examples

#include <cmath> // for sqrt()
FImage src(100, 200),
dest(100, 200);
vigra::transformImage(srcImageRange(src),
destImage(dest),
(double(*)(double))&std::sqrt );

Required Interface:

SrcImageIterator src_upperleft, src_lowerright;
DestImageIterator dest_upperleft;
SrcImageIterator::row_iterator sx = src_upperleft.rowIterator();
DestImageIterator::row_iterator dx = dest_upperleft.rowIterator();
SrcAccessor src_accessor;
DestAccessor dest_accessor;
Functor functor;
dest_accessor.set(functor(src_accessor(sx)), dx);

See Also
  Functors to Transform Images, vigra::multi_math, Functor Expressions

Examples:
  invert.cxx, and watershed.cxx.

void vigra::transformImageIf | ( |  | ... | ) |

Apply unary point transformation to each pixel within the ROI (i.e., where the mask is non-zero).

After the introduction of arithmetic and algebraic array expressions, this function is rarely needed. Moreover, combineTwoMultiArrays() provides the same functionality for arbitrary dimensional arrays.

The transformation given by the functor is applied to every source pixel in the ROI (i.e. when the return value of the mask's accessor is not zero) and the result is written into the corresponding destination pixel. The function uses accessors to access the pixel data. Note that the unary functors of the STL can be used in addition to the functors specifically defined in Functors to Transform Images. Creation of new functors is easiest by using Functor Expressions.

Declarations:

pass 2D array views:

namespace vigra {
template <class T1, class S1,
class TM, class SM,
class T2, class S2,
class Functor>
void
transformImageIf(MultiArrayView<2, T1, S1> const & src,
MultiArrayView<2, TM, SM> const & mask,
MultiArrayView<2, T2, S2> dest,
Functor const & f);
}

show deprecated declarations

pass Image Iterators and Data Accessors :
namespace vigra {
template <class SrcImageIterator, class SrcAccessor,
class MaskImageIterator, class MaskAccessor,
class DestImageIterator, clas DestAccessor,
class Functor>
void
transformImageIf(SrcImageIterator src_upperleft,
SrcImageIterator src_lowerright, SrcAccessor sa,
MaskImageIterator mask_upperleft, MaskAccessor ma,
DestImageIterator dest_upperleft, DestAccessor da,
Functor const & f)
}

use argument objects in conjunction with Argument Object Factories :

namespace vigra {
template <class SrcImageIterator, class SrcAccessor,
class MaskImageIterator, class MaskAccessor,
class DestImageIterator, clas DestAccessor,
class Functor>
void
transformImageIf(triple<SrcImageIterator, SrcImageIterator, SrcAccessor> src,
pair<MaskImageIterator, MaskAccessor> mask,
pair<DestImageIterator, DestAccessor> dest,
Functor const & f)
}

Usage:

#include <vigra/transformimage.hxx>
Namespace: vigra

#include <cmath> // for sqrt()
MultiArray<2, unsigned char> mask(100, 200),
MultiArray<2, float> src(100, 200),
dest(100, 200);
... // fill src and mask
transformImageIf(src, mask, dest, &std::sqrt );

show deprecated examples

#include <cmath> // for sqrt()
vigra::transformImageIf(srcImageRange(src),
maskImage(mask),
destImage(dest),
(double(*)(double))&std::sqrt );

Required Interface:

SrcImageIterator src_upperleft, src_lowerright;
DestImageIterator dest_upperleft;
MaskImageIterator mask_upperleft;
SrcImageIterator::row_iterator sx = src_upperleft.rowIterator();
MaskImageIterator::row_iterator mx = mask_upperleft.rowIterator();
DestImageIterator::row_iterator dx = dest_upperleft.rowIterator();
SrcAccessor src_accessor;
DestAccessor dest_accessor;
MaskAccessor mask_accessor;
Functor functor;
if(mask_accessor(mx))
dest_accessor.set(functor(src_accessor(sx)), dx);

See Also
  Functors to Transform Images, vigra::multi_math, Functor Expressions

void vigra::gradientBasedTransform | ( |  | ... | ) |

Calculate a function of the image gradient.

The gradient and the function represented by `Functor f` are calculated in one go: for each location, the symmetric difference in x- and y-directions (asymmetric difference at the image borders) are passed to the given functor, and the result is written to the destination image. Functors to be used with this function include MagnitudeFunctor and RGBGradientMagnitudeFunctor.

Declarations:

pass 2D array views:

namespace vigra {
template <class T1, class S1,
class T2, class S2,
class Functor>
void
gradientBasedTransform(MultiArrayView<2, T1, S1> const & src,
MultiArrayView<2, T2, S2> dest,
Functor const & grad);
}

show deprecated declarations

pass Image Iterators and Data Accessors :
namespace vigra {
template <class SrcImageIterator, class SrcAccessor,
class DestImageIterator, class DestAccessor, class Functor>
void
gradientBasedTransform(SrcImageIterator srcul, SrcImageIterator srclr, SrcAccessor sa,
DestImageIterator destul, DestAccessor da, Functor const & f)
}

use argument objects in conjunction with Argument Object Factories :

namespace vigra {
template <class SrcImageIterator, class SrcAccessor,
class DestImageIterator, class DestAccessor, class Functor>
void
gradientBasedTransform(triple<SrcImageIterator, SrcImageIterator, SrcAccessor> src,
pair<DestImageIterator, DestAccessor> dest, Functor const & const & f)
}

Usage:

#include <vigra/transformimage.hxx>
Namespace: vigra

MultiArray<2, float> src(w,h), magnitude(w,h);
...
gradientBasedTransform(src, magnitude,
MagnitudeFunctor<float>());

show deprecated examples

vigra::FImage src(w,h), magnitude(w,h);
...
gradientBasedTransform(srcImageRange(src), destImage(magnitude),
vigra::MagnitudeFunctor<float>());

Required Interface:

SrcImageIterator is, isend;
DestImageIterator id;
SrcAccessor src_accessor;
DestAccessor dest_accessor;
typename NumericTraits<typename SrcAccessor::value_type>::RealPromote
diffx, diffy;
diffx = src_accessor(is, Diff2D(-1,0)) - src_accessor(is, Diff2D(1,0));
diffy = src_accessor(is, Diff2D(0,-1)) - src_accessor(is, Diff2D(0,1));
Functor f;
dest_accessor.set(f(diffx, diffy), id);

See Also
  Functors to Transform Images, vigra::multi_math, Functor Expressions

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany | html generated using doxygen and Python vigra 1.11.0 (Fri May 19 2017)