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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkOrthogonalSwath2DPathFilter.h,v $
Language: C++
Date: $Date: 2007-04-14 11:54:33 $
Version: $Revision: 1.10 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkOrthogonalSwath2DPathFilter_h
#define __itkOrthogonalSwath2DPathFilter_h
#include "itkPathAndImageToPathFilter.h"
#include "itkOrthogonallyCorrected2DParametricPath.h"
namespace itk
{
/** \class OrthogonalSwath2DPathFilter
* \brief Filter that optimizes a 2D path relative to an image.
*
* OrthogonalSwath2DPathFilter produces an OrthogonallyCorrected2DParametricPath
* representation of a path that is optimal with respect to an image and an
* original Fourier series path (sometimes referred to as an "initial contour").
* Usage is a little complex. The input image must be preprocessed with
* ExtractOrthogonalSwath2DImageFilter (the user may want to smooth the image
* first). The user should then use the resulting swath image to produce a new
* "merit" swath image of the EXACT same size as the swath image produced in the
* preceeding step. Each pixel value in the merit swath image indicates the
* local merit of having the path pass through that swath index (taking the
* absolute value of the vertical partial-derivative of the swath image is often
* a good way to do this). Both the merit swath image and the path used to
* extract the swath image should then be passed as inputs to this filter which
* will search through the merit swath image using dynamic programming to find
* the absolutely optimum (in terms of the swath image) path. The test file
* itkOrthogonalSwath2DPathFilterTest.cxx provides a good usage example.
*
* \ingroup PathFilters
*/
template <class TFourierSeriesPath, class TSwathMeritImage>
class ITK_EXPORT OrthogonalSwath2DPathFilter : public
PathAndImageToPathFilter< TFourierSeriesPath, TSwathMeritImage,
OrthogonallyCorrected2DParametricPath >
{
public:
/** Standard class typedefs. */
typedef OrthogonalSwath2DPathFilter Self;
typedef PathAndImageToPathFilter< TFourierSeriesPath, TSwathMeritImage,
OrthogonallyCorrected2DParametricPath > Superclass;
typedef SmartPointer<Self> Pointer;
typedef SmartPointer<const Self> ConstPointer;
/** Method for creation through the object factory. */
itkNewMacro(Self);
/** Run-time type information (and related methods). */
itkTypeMacro(OrthogonalSwath2DPathFilter, PathAndImageToPathFilter);
/** Some convenient typedefs. */
typedef TFourierSeriesPath InputPathType;
typedef typename InputPathType::Pointer InputPathPointer;
typedef typename InputPathType::InputType InputPathInputType;
typedef TSwathMeritImage ImageType;
typedef typename ImageType::ConstPointer ImageConstPointer;
typedef OrthogonallyCorrected2DParametricPath OutputPathType;
typedef typename OutputPathType::Pointer OutputPathPointer;
typedef typename OutputPathType::InputType OutputPathInputType;
typedef typename OutputPathType::OrthogonalCorrectionTableType
OrthogonalCorrectionTableType;
typedef typename OutputPathType::OrthogonalCorrectionTablePointer
OrthogonalCorrectionTablePointer;
typedef typename InputPathType::IndexType IndexType;
typedef typename InputPathType::OffsetType OffsetType;
typedef typename ImageType::SizeType SizeType;
protected:
OrthogonalSwath2DPathFilter();
virtual ~OrthogonalSwath2DPathFilter();
void PrintSelf(std::ostream& os, Indent indent) const;
void GenerateData(void);
private:
OrthogonalSwath2DPathFilter(const Self&); //purposely not implemented
void operator=(const Self&); //purposely not implemented
// Find the "L" for the maximum merit over the range L-1 to L+1 at F & x.
// This value is both returned and stored in m_StepValues.
// The merits for F & x at L-1 to L+1 must have already been calculated.
unsigned int FindAndStoreBestErrorStep(unsigned int x, unsigned int F,
unsigned int L);
// m_StepValues & m_MeritValues are stored as datatype[x][F][L] which requres
// cols*rows*rows bytes of storage where rows and cols are the dimensions of
// the processed image.
//
// This ordering of elements is most efficient when L is incremented in the
// inner-most loop and x is incremented in the outer-most loop.
//
// m_StepValues & m_MeritValues should always be accessed using the StepValue()
// and MeritValue() access functions. StepValue() and MeritValue() can each be
// used on both the left and right hand of assignments for reads & writes, ex:
// StepValue(1,1,1) = 2+MeritValue(0,0,3);
inline int &StepValue(int f, int l, int x)
{
int rows=m_SwathSize[1];
return m_StepValues[ (x*rows*rows) + (f*rows) + (l) ];
}
inline double &MeritValue(int f, int l, int x)
{
int rows=m_SwathSize[1];
return m_MeritValues[ (x*rows*rows) + (f*rows) + (l) ];
}
int *m_StepValues; // best y=error coordinate @ x of image for (0,F) -> (x+1,L)
double *m_MeritValues;
int *m_OptimumStepsValues; // best step (e value) sequence for a closed path
OrthogonalCorrectionTablePointer m_FinalOffsetValues;
SizeType m_SwathSize;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkOrthogonalSwath2DPathFilter.txx"
#endif
#endif
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