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/* */
/* Copyright 1998-2002 by Ullrich Koethe */
/* */
/* This file is part of the VIGRA computer vision library. */
/* The VIGRA Website is */
/* http://hci.iwr.uni-heidelberg.de/vigra/ */
/* Please direct questions, bug reports, and contributions to */
/* ullrich.koethe@iwr.uni-heidelberg.de or */
/* vigra@informatik.uni-hamburg.de */
/* */
/* Permission is hereby granted, free of charge, to any person */
/* obtaining a copy of this software and associated documentation */
/* files (the "Software"), to deal in the Software without */
/* restriction, including without limitation the rights to use, */
/* copy, modify, merge, publish, distribute, sublicense, and/or */
/* sell copies of the Software, and to permit persons to whom the */
/* Software is furnished to do so, subject to the following */
/* conditions: */
/* */
/* The above copyright notice and this permission notice shall be */
/* included in all copies or substantial portions of the */
/* Software. */
/* */
/* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND */
/* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES */
/* OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND */
/* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT */
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/* OTHER DEALINGS IN THE SOFTWARE. */
/* */
/************************************************************************/
#ifndef VIGRA_SYMMETRY_HXX
#define VIGRA_SYMMETRY_HXX
#include "utilities.hxx"
#include "numerictraits.hxx"
#include "stdimage.hxx"
#include "convolution.hxx"
namespace vigra {
/** \addtogroup SymmetryDetection Symmetry Detection
Measure the local symmetry at each pixel.
*/
//@{
/********************************************************/
/* */
/* radialSymmetryTransform */
/* */
/********************************************************/
/** \brief Find centers of radial symmetry in an image.
This algorithm implements the Fast Radial Symmetry Transform according to
[G. Loy, A. Zelinsky: <em> "A Fast Radial Symmetry Transform for Detecting
Points of Interest"</em>, in: A. Heyden et al. (Eds.): Proc. of 7th European
Conf. on Computer Vision, Part 1, pp. 358-368, Springer LNCS 2350, 2002].
Minima of the algorithm response mark dark blobs, maxima correspond to light blobs.
The "radial strictness parameter" is fixed at <TT>alpha</tt> = 2.0, the
spatial spreading of the raw response is done by a Gaussian convolution
at <tt>0.25*scale</TT> (these values are recommendations from the paper).
Loy and Zelinsky additionally propose to add the operator response from several
scales (see usage example below).
<b> Declarations:</b>
pass arguments explicitly:
\code
namespace vigra {
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void
radialSymmetryTransform(SrcIterator sul, SrcIterator slr, SrcAccessor as,
DestIterator dul, DestAccessor ad,
double scale)
}
\endcode
use argument objects in conjunction with \ref ArgumentObjectFactories :
\code
namespace vigra {
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
inline
void radialSymmetryTransform(
triple<SrcIterator, SrcIterator, SrcAccessor> src,
pair<DestIterator, DestAccessor> dest,
double scale)
}
\endcode
<b> Usage:</b>
<b>\#include</b> \<<a href="symmetry_8hxx-source.html">vigra/symmetry.hxx</a>\><br>
Namespace: vigra
\code
vigra::BImage src(w,h), centers(w,h);
vigra::FImage symmetry(w,h);
// empty result image
centers.init(128);
symmetry.init(0.0);
// input width of edge detection filter
for(double scale = 2.0; scale <= 8.0; scale *= 2.0)
{
vigra::FImage tmp(w,h);
// find centers of symmetry
radialSymmetryTransform(srcImageRange(src), destImage(tmp), scale);
combineTwoImages(srcImageRange(symmetry), srcImage(tmp), destImage(symmetry),
std::plus<float>());
}
localMinima(srcImageRange(symmetry), destImage(centers), 0);
localMaxima(srcImageRange(symmetry), destImage(centers), 255);
\endcode
<b> Required Interface:</b>
\code
SrcImageIterator src_upperleft, src_lowerright;
DestImageIterator dest_upperleft;
SrcAccessor src_accessor;
DestAccessor dest_accessor;
// SrcAccessor::value_type must be a built-in type
SrcAccessor::value_type u = src_accessor(src_upperleft);
dest_accessor.set(u, dest_upperleft);
\endcode
*/
doxygen_overloaded_function(template <...> void radialSymmetryTransform)
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
void
radialSymmetryTransform(SrcIterator sul, SrcIterator slr, SrcAccessor as,
DestIterator dul, DestAccessor ad,
double scale)
{
vigra_precondition(scale > 0.0,
"radialSymmetryTransform(): Scale must be > 0");
int w = slr.x - sul.x;
int h = slr.y - sul.y;
if(w <= 0 || h <= 0) return;
typedef typename
NumericTraits<typename SrcAccessor::value_type>::RealPromote TmpType;
typedef BasicImage<TmpType> TmpImage;
typedef typename TmpImage::Iterator TmpIterator;
TmpImage gx(w,h);
TmpImage gy(w,h);
IImage orientationCounter(w,h);
TmpImage magnitudeAccumulator(w,h);
gaussianGradient(srcIterRange(sul, slr, as),
destImage(gx), destImage(gy),
scale);
orientationCounter.init(0);
magnitudeAccumulator.init(NumericTraits<TmpType>::zero());
TmpIterator gxi = gx.upperLeft();
TmpIterator gyi = gy.upperLeft();
int y;
for(y=0; y<h; ++y, ++gxi.y, ++gyi.y)
{
typename TmpIterator::row_iterator gxr = gxi.rowIterator();
typename TmpIterator::row_iterator gyr = gyi.rowIterator();
for(int x = 0; x<w; ++x, ++gxr, ++gyr)
{
double angle = VIGRA_CSTD::atan2(-*gyr, *gxr);
double magnitude = VIGRA_CSTD::sqrt(*gxr * *gxr + *gyr * *gyr);
if(magnitude < NumericTraits<TmpType>::epsilon()*10.0)
continue;
int dx = NumericTraits<int>::fromRealPromote(scale * VIGRA_CSTD::cos(angle));
int dy = NumericTraits<int>::fromRealPromote(scale * VIGRA_CSTD::sin(angle));
int xx = x + dx;
int yy = y - dy;
if(xx >= 0 && xx < w && yy >= 0 && yy < h)
{
orientationCounter(xx, yy) += 1;
magnitudeAccumulator(xx, yy) += detail::RequiresExplicitCast<TmpType>::cast(magnitude);
}
xx = x - dx;
yy = y + dy;
if(xx >= 0 && xx < w && yy >= 0 && yy < h)
{
orientationCounter(xx, yy) -= 1;
magnitudeAccumulator(xx, yy) -= detail::RequiresExplicitCast<TmpType>::cast(magnitude);
}
}
}
int maxOrientation = 0;
TmpType maxMagnitude = NumericTraits<TmpType>::zero();
for(y=0; y<h; ++y)
{
for(int x = 0; x<w; ++x)
{
int o = VIGRA_CSTD::abs(orientationCounter(x,y));
if(o > maxOrientation)
maxOrientation = o;
TmpType m = VIGRA_CSTD::abs(magnitudeAccumulator(x,y));
if(m > maxMagnitude)
maxMagnitude = m;
}
}
for(y=0; y<h; ++y)
{
for(int x = 0; x<w; ++x)
{
double o = (double)orientationCounter(x, y) / maxOrientation;
magnitudeAccumulator(x, y) = detail::RequiresExplicitCast<TmpType>::cast(o * o * magnitudeAccumulator(x, y) / maxMagnitude);
}
}
gaussianSmoothing(srcImageRange(magnitudeAccumulator), destIter(dul, ad), 0.25*scale);
}
template <class SrcIterator, class SrcAccessor,
class DestIterator, class DestAccessor>
inline
void radialSymmetryTransform(
triple<SrcIterator, SrcIterator, SrcAccessor> src,
pair<DestIterator, DestAccessor> dest,
double scale)
{
radialSymmetryTransform(src.first, src.second, src.third,
dest.first, dest.second,
scale);
}
//@}
} // namespace vigra
#endif /* VIGRA_SYMMETRY_HXX */
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