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*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
/*=========================================================================
*
* Portions of this file are subject to the VTK Toolkit Version 3 copyright.
*
* Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
*
* For complete copyright, license and disclaimer of warranty information
* please refer to the NOTICE file at the top of the ITK source tree.
*
*=========================================================================*/
#ifndef itkImageBase_h
#define itkImageBase_h
#include "itkDataObject.h"
#include "itkImageRegion.h"
#include "itkMatrix.h"
#include "itkObjectFactory.h"
#include "itkOffset.h"
#include "itkFixedArray.h"
#include "itkImageHelper.h"
#include "itkFloatTypes.h"
//HACK: vnl/vnl_matrix_fixed.txx is needed here?
// to avoid undefined symbol vnl_matrix_fixed<double, 8u, 8u>::set_identity()", referenced from
#include "vnl/vnl_matrix_fixed.txx"
#include "itkImageTransformHelper.h"
namespace itk
{
/* Forward declaration (ImageTransformHelper include's ImageBase) */
template< unsigned int NImageDimension, unsigned int R, unsigned int C, typename TPointValue, typename TMatrixValue >
class ImageTransformHelper;
/** \class ImageBase
* \brief Base class for templated image classes.
*
* ImageBase is the base class for the templated Image
* classes. ImageBase is templated over the dimension of the image. It
* provides the API and ivars that depend solely on the dimension of
* the image. ImageBase does not store any of the image (pixel) data.
* Storage for the pixels and the pixel access methods are defined in
* subclasses of ImageBase, namely Image and ImageAdaptor.
*
* ImageBase manages the geometry of an image. The geometry of an
* image is defined by its position, orientation, spacing, and extent.
*
* The position and orientation of an image is defined by its "Origin"
* and its "Directions". The "Origin" is the physical position of the
* pixel whose "Index" is all zeros. The "Direction" of an image is a
* matrix whose columns indicate the direction in physical space that
* each dimension of the image traverses. The first column defines the
* direction that the fastest moving index in the image traverses in
* physical space while the last column defines the direction that the
* slowest moving index in the image traverses in physical space.
*
* The extent of an image is defined by the pixel spacing and a set of
* regions. The "Spacing" is the size of a pixel in physical space
* along each dimension. Regions describe a portion of an image grid
* via a starting index for the image array and a size (or number of
* pixels) in each dimension. The ivar LargestPossibleRegion defines
* the size and starting index of the image dataset. The entire image
* dataset, however, may not be resident in memory. The region of the
* image that is resident in memory is defined by the
* "BufferedRegion". The Buffer is a contiguous block of memory. The
* third set of meta-data defines a region of interest, called the
* "RequestedRegion". The RequestedRegion is used by the pipeline
* execution model to define what a filter is requested to produce.
*
* [RegionIndex, RegionSize] C [BufferIndex, BufferSize]
* C [ImageIndex, ImageSize]
*
* ImageBase provides all the methods for converting between the
* physical space and index coordinate
* frames. TransformIndexToPhysicalPoint() converts an Index in the
* pixel array into its coordinates in physical space.
* TransformPhysicalPointToIndex() converts a position in physical
* space into an Index into the pixel array (using
* rounding). Subpixel locations are supported by methods that
* convert to and from ContinuousIndex types.
*
* ImageBase also provides helper routines for the ImageIterators
* which convert an Index to an offset in memory from the first pixel
* address as well as covert an offset in memory from the first pixel
* address to an Index.
*
* \ingroup ImageObjects
* \ingroup ITKSystemObjects
*
* \ingroup ITKCommon
*/
template< unsigned int VImageDimension = 2 >
class ImageBase:public DataObject
{
public:
/** Standard typedefs. */
typedef ImageBase Self;
typedef DataObject 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(ImageBase, DataObject);
/** Type of image dimension */
typedef unsigned int ImageDimensionType;
/** Dimension of the image. This constant is used by functions that are
* templated over image type (as opposed to being templated over pixel
* type and dimension) when they need compile time access to the dimension
* of the image. */
itkStaticConstMacro(ImageDimension, ImageDimensionType, VImageDimension);
/** Index typedef support. An index is used to access pixel values. */
typedef Index< VImageDimension > IndexType;
typedef typename IndexType::IndexValueType IndexValueType;
/** Offset typedef support. An offset represent relative position
* between indices. */
typedef Offset< VImageDimension > OffsetType;
typedef typename OffsetType::OffsetValueType OffsetValueType;
/** Size typedef support. A size is used to define region bounds. */
typedef Size< VImageDimension > SizeType;
typedef typename SizeType::SizeValueType SizeValueType;
/** Region typedef support. A region is used to specify a subset of an image. */
typedef ImageRegion< VImageDimension > RegionType;
/** Spacing typedef support. Spacing holds the size of a pixel.
* The spacing is the geometric distance between image samples along
* each dimension. ITK only supports positive spacing value:
* negative values may cause undesirable results. */
typedef SpacePrecisionType SpacingValueType;
typedef Vector< SpacingValueType, VImageDimension > SpacingType;
/** Origin typedef support. The origin is the geometric coordinates
* of the index (0,0). */
typedef SpacePrecisionType PointValueType;
typedef Point< PointValueType, VImageDimension > PointType;
/** Direction typedef support. The Direction is a matix of
* direction cosines that specify the direction in physical space
* between samples along each dimension. */
typedef Matrix< SpacePrecisionType, VImageDimension, VImageDimension > DirectionType;
/** Restore object to initialized state. */
virtual void Initialize() ITK_OVERRIDE;
/** Image dimension. The dimension of an image is fixed at construction. */
static unsigned int GetImageDimension()
{ return VImageDimension; }
/** Set the origin of the image. The origin is the geometric
* coordinates of the image origin (pixel [0,0]). It is stored internally
* as SpacePrecisionType but may be set from float or double.
* \sa GetOrigin() */
itkSetMacro(Origin, PointType);
virtual void SetOrigin(const double origin[VImageDimension]);
virtual void SetOrigin(const float origin[VImageDimension]);
/** Set the direction cosines of the image. The direction cosines
* are vectors that point from one pixel to the next.
*
* Each column of the matrix indicates the direction cosines of the unit vector
* that is parallel to the lines of the image grid corresponding to that
* dimension. For example, an image with Direction matrix
*
* 0.866 0.500
* -0.500 0.866
*
* has an image grid were the fastest changing index (dimension[0]) walks
* over a line that in physical space is oriented parallel to the vector
* (0.866, -0.5). The second fastest changing index (dimension[1]) walks along
* a line that in Physical space is oriented parallel to the vector
* (0.5, 0.866)
*
* The columns of the Direction matrix are expected to form an
* orthogonal right handed coordinate syste. But this is not
* checked nor enforced in itk::ImageBase.
*
* For details, please see:
*
* http://www.itk.org/Wiki/Proposals:Orientation#Some_notes_on_the_DICOM_convention_and_current_ITK_usage
*
* \sa GetDirection() */
virtual void SetDirection(const DirectionType & direction);
/** Get the direction cosines of the image. The direction cosines
* are vectors that point from one pixel to the next.
* For ImageBase and Image, the default direction is identity. */
itkGetConstReferenceMacro(Direction, DirectionType);
/** Get the inverse direction cosines of the image.
* These are calculated automatically in SetDirection, thus there
* is no Set accessor. */
itkGetConstReferenceMacro(InverseDirection, DirectionType);
/** Get the spacing (size of a pixel) `of the image. The
* spacing is the geometric distance between image samples along
* each dimension. The value returned is a Vector<double, VImageDimension>.
* For ImageBase and Image, the default data spacing is unity. */
itkGetConstReferenceMacro(Spacing, SpacingType);
/** Get the origin of the image. The origin is the geometric
* coordinates of the index (0,0). The value returned is a
* Point<double, VImageDimension>. For ImageBase and Image, the
* default origin is 0. */
itkGetConstReferenceMacro(Origin, PointType);
/** Allocate the image memory. The size of the image must
* already be set, e.g. by calling SetRegions() or SetBufferedRegion().
*
* This method should be pure virtual, if backwards compatibility
* was not required.
*
*/
virtual void Allocate(bool initialize=false);
/** Set the region object that defines the size and starting index
* for the largest possible region this image could represent. This
* is used in determining how much memory would be needed to load an
* entire dataset. It is also used to determine boundary true
* conditions.
* \sa ImageRegion, SetBufferedRegion(), SetRequestedRegion() */
virtual void SetLargestPossibleRegion(const RegionType & region);
/** Get the region object that defines the size and starting index
* for the largest possible region this image could represent. This
* is used in determining how much memory would be needed to load an
* entire dataset. It is also used to determine boundary true
* conditions.
* \sa ImageRegion, GetBufferedRegion(), GetRequestedRegion() */
virtual const RegionType & GetLargestPossibleRegion() const
{ return m_LargestPossibleRegion; }
/** Set the region object that defines the size and starting index
* of the region of the image currently loaded in memory.
* \sa ImageRegion, SetLargestPossibleRegion(), SetRequestedRegion() */
virtual void SetBufferedRegion(const RegionType & region);
/** Get the region object that defines the size and starting index
* of the region of the image currently loaded in memory.
* \sa ImageRegion, SetLargestPossibleRegion(), SetRequestedRegion() */
virtual const RegionType & GetBufferedRegion() const
{ return m_BufferedRegion; }
/** Set the region object that defines the size and starting index
* for the region of the image requested (i.e., the region of the
* image to be operated on by a filter). Setting the RequestedRegion
* does not cause the object to be modified. This method is called
* internally by the pipeline and therefore bypasses the modified
* time calculation.
* \sa ImageRegion, SetLargestPossibleRegion(), SetBufferedRegion() */
virtual void SetRequestedRegion(const RegionType & region);
/** Set the requested region from this data object to match the requested
* region of the data object passed in as a parameter. This method
* implements the API from DataObject. The data object parameter must be
* castable to an ImageBase. Setting the RequestedRegion does not cause
* the object to be modified. This method is called internally by
* the pipeline and therefore bypasses the modified time
* calculation. */
virtual void SetRequestedRegion( const DataObject *data ) ITK_OVERRIDE;
/** Get the region object that defines the size and starting index
* for the region of the image requested (i.e., the region of the
* image to be operated on by a filter).
* \sa ImageRegion, SetLargestPossibleRegion(), SetBufferedRegion() */
virtual const RegionType & GetRequestedRegion() const
{ return m_RequestedRegion; }
/** Convenience methods to set the LargestPossibleRegion,
* BufferedRegion and RequestedRegion. Allocate must still be called.
*/
virtual void SetRegions(const RegionType& region)
{
this->SetLargestPossibleRegion(region);
this->SetBufferedRegion(region);
this->SetRequestedRegion(region);
}
virtual void SetRegions(const SizeType& size)
{
RegionType region; region.SetSize(size);
this->SetLargestPossibleRegion(region);
this->SetBufferedRegion(region);
this->SetRequestedRegion(region);
}
/** Get the offset table. The offset table gives increments for
* moving from one pixel to next in the current row, column, slice,
* etc.. This table if of size [VImageDimension+1], because its
* values are computed progressively as: {1, N1, N1*N2,
* N1*N2*N3,...,(N1*...*Nn)} Where the values {N1,...,Nn} are the
* elements of the BufferedRegion::Size array. The last element of
* the OffsetTable is equivalent to the BufferSize. Having a
* [VImageDimension+1] size array, simplifies the implementation of
* some data accessing algorithms. The entries in the offset table
* are only valid after the BufferedRegion is set. */
const OffsetValueType * GetOffsetTable() const { return m_OffsetTable; }
/** Compute an offset from the beginning of the buffer for a pixel
* at the specified index. The index is not checked as to whether it
* is inside the current buffer, so the computed offset could
* conceivably be outside the buffer. If bounds checking is needed,
* one can call ImageRegion::IsInside(ind) on the BufferedRegion
* prior to calling ComputeOffset. */
inline OffsetValueType ComputeOffset(const IndexType & ind) const
{
OffsetValueType offset = 0;
ImageHelper< VImageDimension, VImageDimension >::ComputeOffset(this->GetBufferedRegion().GetIndex(),
ind,
m_OffsetTable,
offset);
return offset;
/* NON TEMPLATE_META_PROGRAMMING_LOOP_UNROLLING data version
* Leaving here for documentation purposes
* OffsetValueType ComputeOffset(const IndexType & ind) const
* {
* // need to add bounds checking for the region/buffer?
* OffsetValueType offset = 0;
* const IndexType & bufferedRegionIndex = this->GetBufferedRegion().GetIndex();
* // data is arranged as [][][][slice][row][col]
* // with Index[0] = col, Index[1] = row, Index[2] = slice
* for ( int i = VImageDimension - 1; i > 0; i-- )
* {
* offset += ( ind[i] - bufferedRegionIndex[i] ) * m_OffsetTable[i];
* }
* offset += ( ind[0] - bufferedRegionIndex[0] );
* return offset;
* }
*/
}
/** Compute the index of the pixel at a specified offset from the
* beginning of the buffered region. Bounds checking is not
* performed. Thus, the computed index could be outside the
* BufferedRegion. To ensure a valid index, the parameter "offset"
* should be between 0 and the number of pixels in the
* BufferedRegion (the latter can be found using
* ImageRegion::GetNumberOfPixels()). */
inline IndexType ComputeIndex(OffsetValueType offset) const
{
IndexType index;
const IndexType & bufferedRegionIndex = this->GetBufferedRegion().GetIndex();
ImageHelper< VImageDimension, VImageDimension >::ComputeIndex(bufferedRegionIndex,
offset,
m_OffsetTable,
index);
return index;
/* NON TEMPLATE_META_PROGRAMMING_LOOP_UNROLLING data version
* Leaving here for documentation purposes
* IndexType ComputeIndex(OffsetValueType offset) const
* {
* IndexType index;
* const IndexType & bufferedRegionIndex = this->GetBufferedRegion().GetIndex();
* for ( int i = VImageDimension - 1; i > 0; i-- )
* {
* index[i] = static_cast< IndexValueType >( offset / m_OffsetTable[i] );
* offset -= ( index[i] * m_OffsetTable[i] );
* index[i] += bufferedRegionIndex[i];
* }
* index[0] = bufferedRegionIndex[0] + static_cast< IndexValueType >( offset );
* return index;
* }
*/
}
/** Set the spacing (size of a pixel) of the image. The spacing is
* the geometric distance between image samples along each
* dimension. It is stored internally as double, but may be set from
* float. These methods also pre-compute the Index to Physical point
* transforms of the image.
* \sa GetSpacing() */
virtual void SetSpacing(const SpacingType & spacing);
virtual void SetSpacing(const double spacing[VImageDimension]);
virtual void SetSpacing(const float spacing[VImageDimension]);
/** Get the index (discrete) of a voxel from a physical point.
* Floating point index results are rounded to integers
* Returns true if the resulting index is within the image, false otherwise
* \sa Transform */
template< typename TCoordRep >
bool TransformPhysicalPointToIndex(
const Point< TCoordRep, VImageDimension > & point,
IndexType & index) const
{
ImageTransformHelper< VImageDimension,VImageDimension - 1, VImageDimension - 1, TCoordRep, SpacePrecisionType >
::TransformPhysicalPointToIndex(this->m_PhysicalPointToIndex, this->m_Origin, point, index);
// Now, check to see if the index is within allowed bounds
const bool isInside = this->GetLargestPossibleRegion().IsInside(index);
return isInside;
/* NON TEMPLATE_META_PROGRAMMING_LOOP_UNROLLING data version
* Leaving here for documentation purposes
* template< typename TCoordRep >
* bool TransformPhysicalPointToIndex(
* const Point< TCoordRep, VImageDimension > & point,
* IndexType & index) const
* {
* for ( unsigned int i = 0; i < VImageDimension; i++ )
* {
* TCoordRep sum = NumericTraits< TCoordRep >::ZeroValue();
* for ( unsigned int j = 0; j < VImageDimension; j++ )
* {
* sum += this->m_PhysicalPointToIndex[i][j] * ( point[j] - this->m_Origin[j] );
* }
* index[i] = Math::RoundHalfIntegerUp< IndexValueType >(sum);
* }
* // Now, check to see if the index is within allowed bounds
* const bool isInside = this->GetLargestPossibleRegion().IsInside(index);
* return isInside;
* }
*/
}
/** \brief Get the continuous index from a physical point
*
* Returns true if the resulting index is within the image, false otherwise.
* \sa Transform */
template< typename TCoordRep, typename TIndexRep >
bool TransformPhysicalPointToContinuousIndex(
const Point< TCoordRep, VImageDimension > & point,
ContinuousIndex< TIndexRep, VImageDimension > & index) const
{
Vector< SpacePrecisionType, VImageDimension > cvector;
for ( unsigned int k = 0; k < VImageDimension; ++k )
{
cvector[k] = point[k] - this->m_Origin[k];
}
cvector = m_PhysicalPointToIndex * cvector;
for ( unsigned int i = 0; i < VImageDimension; ++i )
{
index[i] = static_cast< TIndexRep >( cvector[i] );
}
// Now, check to see if the index is within allowed bounds
const bool isInside = this->GetLargestPossibleRegion().IsInside(index);
return isInside;
}
/** Get a physical point (in the space which
* the origin and spacing information comes from)
* from a continuous index (in the index space)
* \sa Transform */
template< typename TCoordRep, typename TIndexRep >
void TransformContinuousIndexToPhysicalPoint(
const ContinuousIndex< TIndexRep, VImageDimension > & index,
Point< TCoordRep, VImageDimension > & point) const
{
for ( unsigned int r = 0; r < VImageDimension; ++r )
{
TCoordRep sum = NumericTraits< TCoordRep >::ZeroValue();
for ( unsigned int c = 0; c < VImageDimension; ++c )
{
sum += this->m_IndexToPhysicalPoint(r, c) * index[c];
}
point[r] = sum + this->m_Origin[r];
}
}
/** Get a physical point (in the space which
* the origin and spacing information comes from)
* from a discrete index (in the index space)
*
* \sa Transform */
template< typename TCoordRep >
void TransformIndexToPhysicalPoint(
const IndexType & index,
Point< TCoordRep, VImageDimension > & point) const
{
ImageTransformHelper< VImageDimension, VImageDimension - 1, VImageDimension - 1,TCoordRep, SpacePrecisionType >::
TransformIndexToPhysicalPoint(this->m_IndexToPhysicalPoint, this->m_Origin, index, point);
/* NON TEMPLATE_META_PROGRAMMING_LOOP_UNROLLING data version
* Leaving here for documentation purposes
* template< typename TCoordRep >
* void TransformIndexToPhysicalPoint(
* const IndexType & index,
* Point< TCoordRep, VImageDimension > & point) const
* {
* for ( unsigned int i = 0; i < VImageDimension; ++i )
* {
* point[i] = this->m_Origin[i];
* for ( unsigned int j = 0; j < VImageDimension; ++j )
* {
* point[i] += m_IndexToPhysicalPoint[i][j] * index[j];
* }
* }
* }
*/
}
/** Take a vector or covariant vector that has been computed in the
* coordinate system parallel to the image grid and rotate it by the
* direction cosines in order to get it in terms of the coordinate system of
* the image acquisition device. This implementation in the Image
* multiply the array (vector or covariant vector) by the matrix of Direction
* Cosines. The arguments of the method are of type FixedArray to make
* possible to use this method with both Vector and CovariantVector.
* The Method is implemented differently in the itk::Image.
*
* \sa Image
*/
template< typename TCoordRep >
void TransformLocalVectorToPhysicalVector(
const FixedArray< TCoordRep, VImageDimension > & inputGradient,
FixedArray< TCoordRep, VImageDimension > & outputGradient) const
{
//
//TODO: This temporary implementation should be replaced with Template
// MetaProgramming.
//
const DirectionType & direction = this->GetDirection();
for ( unsigned int i = 0; i < VImageDimension; ++i )
{
typedef typename NumericTraits< TCoordRep >::AccumulateType CoordSumType;
CoordSumType sum = NumericTraits< CoordSumType >::ZeroValue();
for ( unsigned int j = 0; j < VImageDimension; ++j )
{
sum += direction[i][j] * inputGradient[j];
}
outputGradient[i] = static_cast< TCoordRep >( sum );
}
}
/** Take a vector or covariant vector that has been computed in terms of the
* coordinate system of the image acquisition device, and rotate it by the
* inverse direction cosines in order to get it in the coordinate system
* parallel to the image grid. This implementation in the Image
* multiply the array (vector or covariant vector) by the inverse of Direction
* Cosines. The arguments of the method are of type FixedArray to make
* possible to use this method with both Vector and CovariantVector.
*/
template< typename TCoordRep >
void TransformPhysicalVectorToLocalVector(
const FixedArray< TCoordRep, VImageDimension > & inputGradient,
FixedArray< TCoordRep, VImageDimension > & outputGradient) const
{
//
//TODO: This temporary implementation should be replaced with Template
// MetaProgramming.
//
const DirectionType & inverseDirection = this->GetInverseDirection();
for ( unsigned int i = 0; i < VImageDimension; ++i )
{
typedef typename NumericTraits< TCoordRep >::AccumulateType CoordSumType;
CoordSumType sum = NumericTraits< CoordSumType >::ZeroValue();
for ( unsigned int j = 0; j < VImageDimension; ++j )
{
sum += inverseDirection[i][j] * inputGradient[j];
}
outputGradient[i] = static_cast< TCoordRep >( sum );
}
}
/** Copy information from the specified data set. This method is
* part of the pipeline execution model. By default, a ProcessObject
* will copy meta-data from the first input to all of its
* outputs. See ProcessObject::GenerateOutputInformation(). Each
* subclass of DataObject is responsible for being able to copy
* whatever meta-data it needs from from another DataObject.
* ImageBase has more meta-data than its DataObject. Thus, it must
* provide its own version of CopyInformation() in order to copy the
* LargestPossibleRegion from the input parameter. */
virtual void CopyInformation(const DataObject *data) ITK_OVERRIDE;
/** Graft the data and information from one image to another. This
* is a convenience method to setup a second image with all the meta
* information of another image and use the same pixel
* container. Note that this method is different than just using two
* SmartPointers to the same image since separate DataObjects are
* still maintained. This method is similar to
* ImageSource::GraftOutput(). The implementation in ImageBase
* simply calls CopyInformation() and copies the region ivars.
* Subclasses of ImageBase are responsible for copying the pixel
* container. */
virtual void Graft(const DataObject *data) ITK_OVERRIDE;
/** Update the information for this DataObject so that it can be used
* as an output of a ProcessObject. This method is used the pipeline
* mechanism to propagate information and initialize the meta data
* associated with a DataObject. This method calls its source's
* ProcessObject::UpdateOutputInformation() which determines modified
* times, LargestPossibleRegions, and any extra meta data like spacing,
* origin, etc. */
virtual void UpdateOutputInformation() ITK_OVERRIDE;
/** UpdateOutputData() is part of the pipeline infrastructure to
* communicate between ProcessObjects and DataObjects. The method of
* the superclass is overriden to check if the requested image
* region has zero pixels. This is needed so that filters can set an
* input's requested region to zero, to indicate that it does not
* need to be updated or executed.
*/
virtual void UpdateOutputData() ITK_OVERRIDE;
/** Set the RequestedRegion to the LargestPossibleRegion. This
* forces a filter to produce all of the output in one execution
* (i.e. not streaming) on the next call to Update(). */
virtual void SetRequestedRegionToLargestPossibleRegion() ITK_OVERRIDE;
/** Determine whether the RequestedRegion is outside of the
* BufferedRegion. This method returns true if the RequestedRegion
* is outside the BufferedRegion (true if at least one pixel is
* outside). This is used by the pipeline mechanism to determine
* whether a filter needs to re-execute in order to satisfy the
* current request. If the current RequestedRegion is already
* inside the BufferedRegion from the previous execution (and the
* current filter is up to date), then a given filter does not need
* to re-execute */
virtual bool RequestedRegionIsOutsideOfTheBufferedRegion() ITK_OVERRIDE;
/** Verify that the RequestedRegion is within the
* LargestPossibleRegion. If the RequestedRegion is not within the
* LargestPossibleRegion, then the filter cannot possible satisfy
* the request. This method returns true if the request can be
* satisfied and returns fails if the request cannot. This method is
* used by PropagateRequestedRegion(). PropagateRequestedRegion()
* throws a InvalidRequestedRegionError exception is the requested
* region is not within the LargestPossibleRegion. */
virtual bool VerifyRequestedRegion() ITK_OVERRIDE;
/** INTERNAL This method is used internally by filters to copy meta-data from
* the output to the input. Users should not have a need to use this method.
*
* Filters that override the ProcessObject's GenerateOutputInformation()
* should generally have the following line if they want to propagate meta-
* data for both Image and VectorImage
* \code
* outputImage->SetNumberOfComponentsPerPixel(
* inputImage->GetNumberOfComponentsPerPixel() )
* \endcode
*
* \sa ImageBase, VectorImage
*
* Returns/Sets the number of components in the image. Note that in the
* ImageBase implementation, this always returns 1. Image returns the
* # returned from NumericTraits for the pixel type, and VectorImage
* returns the vector length set by the user.
*/
virtual unsigned int GetNumberOfComponentsPerPixel() const;
virtual void SetNumberOfComponentsPerPixel(unsigned int);
protected:
ImageBase();
~ImageBase();
virtual void PrintSelf(std::ostream & os, Indent indent) const ITK_OVERRIDE;
/** Calculate the offsets needed to move from one pixel to the next
* along a row, column, slice, volume, etc. These offsets are based
* on the size of the BufferedRegion. This should be called after
* the BufferedRegion is set. */
void ComputeOffsetTable();
/** Compute helper matrices used to transform Index coordinates to
* PhysicalPoint coordinates and back. This method is virtual and will be
* overloaded in derived classes in order to provide backward compatibility
* behavior in classes that did not used to take image orientation into
* account. */
virtual void ComputeIndexToPhysicalPointMatrices();
protected:
/** Origin, spacing, and direction in physical coordinates. This variables are
* protected for efficiency. They are referenced frequently by
* inner loop calculations. */
SpacingType m_Spacing;
PointType m_Origin;
DirectionType m_Direction;
DirectionType m_InverseDirection;
/** Matrices intended to help with the conversion of Index coordinates
* to PhysicalPoint coordinates */
DirectionType m_IndexToPhysicalPoint;
DirectionType m_PhysicalPointToIndex;
/** Restores the buffered region to it's default state
* This method does not call Modify because Initialization is
* called by ReleaseData and can not modify the MTime
* \sa ReleaseData, Initialize, SetBufferedRegion */
virtual void InitializeBufferedRegion();
/** Directly computes an offset from the beginning of the buffer for a pixel
* at the specified index.
* The index is not checked as to whether it is inside the current buffer, so
* the computed offset could conceivably be outside the buffer. If bounds
* checking is needed, one can call \c ImageRegion::IsInside(ind) on the
* BufferedRegion prior to calling ComputeOffset.
* \warning unlike \c ComputeOffset(), this version does not incur a
* virtual call. It's meant to be used only for \c itk::Image<>, \c
* itk::VectorImage<> and \c itk::SpecialCoordinatesImage<>.
*/
OffsetValueType FastComputeOffset(const IndexType &ind) const
{
OffsetValueType offset = 0;
ImageHelper<VImageDimension,VImageDimension>::ComputeOffset(Self::GetBufferedRegion().GetIndex(),
ind,
m_OffsetTable,
offset);
return offset;
}
/** Directly computes the index of the pixel at a specified offset from the
* beginning of the buffered region.
* Bounds checking is not performed. Thus, the computed index could be
* outside the BufferedRegion. To ensure a valid index, the parameter
* \c offset should be between 0 and the number of pixels in the
* BufferedRegion (the latter can be found using
* \c ImageRegion::GetNumberOfPixels()).
* \warning unlike \c ComputeOffset(), this version does not incur a
* virtual call. It's meant to be used only for \c itk::Image<>, \c
* itk::VectorImage<> and \c itk::SpecialCoordinatesImage<>.
*/
IndexType FastComputeIndex(OffsetValueType offset) const
{
IndexType index;
const IndexType &bufferedRegionIndex = Self::GetBufferedRegion().GetIndex();
ImageHelper<VImageDimension,VImageDimension>::ComputeIndex(bufferedRegionIndex,
offset,
m_OffsetTable,
index);
return index;
}
private:
ImageBase(const Self &) ITK_DELETE_FUNCTION;
void operator=(const Self &) ITK_DELETE_FUNCTION;
void InternalSetSpacing(const SpacingValueType spacing[VImageDimension])
{
SpacingType s(spacing);
this->SetSpacing(s);
}
template <typename TSpacingValue>
void InternalSetSpacing(const TSpacingValue spacing[VImageDimension])
{
Vector<TSpacingValue,VImageDimension> sf(spacing);
SpacingType s;
s.CastFrom(sf);
this->SetSpacing(s);
}
OffsetValueType m_OffsetTable[VImageDimension + 1];
RegionType m_LargestPossibleRegion;
RegionType m_RequestedRegion;
RegionType m_BufferedRegion;
};
} // end namespace itk
#ifndef ITK_MANUAL_INSTANTIATION
#include "itkImageBase.hxx"
#endif
#endif
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