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hugin_base/vigra_ext/Correlation.h File Reference

#include <hugin_shared.h>
#include <vigra/stdimage.hxx>
#include <vigra/inspectimage.hxx>
#include <vigra/copyimage.hxx>
#include <vigra/resizeimage.hxx>
#include <vigra/transformimage.hxx>
#include <vigra/impex.hxx>
#include "hugin_utils/utils.h"
#include "hugin_math/hugin_math.h"
#include "vigra_ext/Pyramid.h"
#include "vigra_ext/FitPolynom.h"
#include "vigra_ext/utils.h"
#include "vigra_ext/ImageTransforms.h"

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Namespaces
namespace	vigra_ext
Classes
struct	vigra_ext::CorrelationResult
	Maximum of correlation, position and value. More...
class	vigra_ext::RotateTransform
	clockwise rotation around a origin point, and a translation afterwards. More...
Defines
#define	VIGRA_EXT_USE_FAST_CORR
Functions
template<class SrcImage, class DestImage, class KernelImage>
CorrelationResult	correlateImageFast (SrcImage &src, DestImage &dest, KernelImage &kernel, vigra::Diff2D kul, vigra::Diff2D klr, double threshold=0.7)
	correlate a template with an image.
template<class Iterator, class Accessor>
CorrelationResult	subpixelMaxima (vigra::triple< Iterator, Iterator, Accessor > img, vigra::Diff2D max)
	find the subpixel maxima by fitting 2nd order polynoms to x and y.
template<class IMAGET, class IMAGES>
CorrelationResult	PointFineTune (const IMAGET &templImg, vigra::Diff2D templPos, int templSize, const IMAGES &searchImg, vigra::Diff2D searchPos, int sWidth)
	fine tune a point with normalized cross correlation
template<class IMAGET, class IMAGES>
CorrelationResult	PointFineTuneRotSearch (const IMAGET &templImg, vigra::Diff2D templPos, int templSize, const IMAGES &searchImg, vigra::Diff2D searchPos, int sWidth, double startAngle, double stopAngle, int angleSteps)
	fine tune a point with normalized cross correlation, searches x,y and phi (rotation around z)
template<class SrcIterator, class SrcAccessor, class DestIterator, class DestAccessor, class KernelIterator, class KernelAccessor>
CorrelationResult	correlateImage (SrcIterator sul, SrcIterator slr, SrcAccessor as, DestIterator dul, DestAccessor ad, KernelIterator ki, KernelAccessor ak, vigra::Diff2D kul, vigra::Diff2D klr, double threshold=0.7)
	correlate a template with an image.

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Detailed Description

Author:

Pablo d'Angelo <pablo.dangelo@web.de>

$Id$

This is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This software is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU General Public License along with this software; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA

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Define Documentation

#define VIGRA_EXT_USE_FAST_CORR

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Function Documentation

template<class SrcIterator, class SrcAccessor, class DestIterator, class DestAccessor, class KernelIterator, class KernelAccessor> CorrelationResult correlateImage (  SrcIterator  sul, SrcIterator  slr, SrcAccessor  as, DestIterator  dul, DestAccessor  ad, KernelIterator  ki, KernelAccessor  ak, vigra::Diff2D  kul, vigra::Diff2D  klr, double  threshold = 0.7 )

correlate a template with an image. most code is taken from vigra::convoluteImage. See its documentation for further information. Correlation result already contains the maximum position and its correlation value. it should be possible to set a threshold here.

template<class SrcImage, class DestImage, class KernelImage> CorrelationResult correlateImageFast (  SrcImage &  src, DestImage &  dest, KernelImage &  kernel, vigra::Diff2D  kul, vigra::Diff2D  klr, double  threshold = 0.7 )

correlate a template with an image. This tries to be faster than the other version, because it uses the image data directly. most code is taken from vigra::convoluteImage. See its documentation for further information. Correlation result already contains the maximum position and its correlation value. it should be possible to set a threshold here.

template<class IMAGET, class IMAGES> CorrelationResult PointFineTune (  const IMAGET &  templImg, vigra::Diff2D  templPos, int  templSize, const IMAGES &  searchImg, vigra::Diff2D  searchPos, int  sWidth )

fine tune a point with normalized cross correlation takes a patch of templSize by templSize from templImg images at tmplPos and searches it on the searchImg, at searchPos, in a neighbourhood of sWidth by sWidth. The result in returned in tunedPos Returns: correlation value

template<class IMAGET, class IMAGES> CorrelationResult PointFineTuneRotSearch (  const IMAGET &  templImg, vigra::Diff2D  templPos, int  templSize, const IMAGES &  searchImg, vigra::Diff2D  searchPos, int  sWidth, double  startAngle, double  stopAngle, int  angleSteps )

fine tune a point with normalized cross correlation, searches x,y and phi (rotation around z) takes a patch of templSize by templSize from templImg images at tmplPos and searches it on the searchImg, at searchPos, in a neighbourhood of sWidth by sWidth. The result in returned in tunedPos Returns: correlation value

template<class Iterator, class Accessor> CorrelationResult subpixelMaxima (  vigra::triple< Iterator, Iterator, Accessor >  img, vigra::Diff2D  max )

find the subpixel maxima by fitting 2nd order polynoms to x and y. this estimates the x and y values separately. Don't know if this is the best way, but it works well

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