/**

  \page  ImageIteratorsPage Image Iterators

  \section ImageIteratorsIntroduction Introduction

  ImageIterators are the mechanism used in ITK for walking through the image
  data.

  You probably learned image processing with the classical access to the
  image data using <b>"for loops"</b> like:


  \code

  const int nx = 200;
  const int ny = 100;

  ImageType image(nx,ny);

  for(int x=0; x<nx; x++) // for all Columns
  {
    for(int y=0; y<ny; y++) // for all Rows
    {
      image(x,y) = 10;
    }
  }

  \endcode


  When what you \em really mean is:

  \code

  ForAllThePixels  p   in   image Do   p = 100

  \endcode

  ImageIterators gets you closer to this algorithmic abstraction.
  They abstract the low-level processing of images from the particular
  implementation of the image class.

  Here is how an image iterator is used in ITK:

  \code

  ImageType::Pointer im = GetAnImageSomeHow();

  ImageIterator  it( im, im->GetRequestedRegion() );

  it.GoToBegin();

  while( !it.IsAtEnd() )
  {
    it.Set( 10 );
    ++it;
  }

  \endcode

  This code can also be written as:

  \code
  ImageType::Pointer im = GetAnImageSomeHow();

  ImageIterator  it( im, im->GetRequestedRegion() );

  for (it = it.Begin(); !it.IsAtEnd(); ++it)
  {
    it.Set( 10 );
  }

  \endcode

  One important advantage of ImageIterators is that they provide support for
  the N-Dimensional images in ITK. Otherwise it would be impossible (or at
  least very hard) to write algorithms that work independent of the image
  dimension.

  Another advantage of ImageIterators is that they support walking a region
  of an image.  In fact, one argument of an ImageIterator's constructor
  defines the region or portion of an image to traverse.

  Iterators know a lot about the internal composition of the image,
  relieving the user from these details. Your algorithm can go through
  all the pixels of an image without ever knowing the dimension of the image.

  \section IteratorTypes  Types of Iterators

  The order in which the image pixels are visited can be quite important for
  some image processing algorithms and may be inconsequential to other
  algorithms as long as pixels are accessed as fast as possible.

  To address these diverse requirements, ITK implements a set
  of ImageIterators, always following the "C" philosophy of :

  "You only pay for what you use"

  Here is a list of some of the different ImageIterators implemented in ITK:

  - itk::ImageRegionIterator
  - itk::ImageRegionReverseIterator

  Region iterators don't define any specific order to walk over the pixels on
  the image. The user can be sure though, that all the pixels inside the region
  will be visited.

  The following iterators allows you to walk through the image in specific directions

  - itk::ImageLinearIteratorWithIndex   Along lines
  - itk::ImageSliceIteratorWithIndex    Along lines, then along planes

  Iterators in general can have <B>Read/Write</B> access to image pixels.
  A family of iterators provides <B>Read Only</B> access, in order to
  preserve the image content. These iterators are equivalent to "C"
  const pointers :

  \code
  const * PixelType iterator;
  \endcode

  or to STL const_iterators:

  \code
  vector<PixelType>::const_iterator  it;
  \endcode

  The class name of the iterator makes clears if it provides const access
  or not. Some of the <TT>const</TT> iterators available are

  -  itk::ImageConstIterator
  -  itk::ImageConstIteratorWithIndex
  -  itk::ImageLinearConstIteratorWithIndex
  -  itk::ImageRegionConstIteratorWithIndex
  -  itk::ImageSliceConstIteratorWithIndex

  \subsection NeighbohoodIteratorType  Other Types of Iterators

  Another group of iterators support a moving neighborhood. Here the
  neighborhood can "iterate" over an image and a calculation can iterate
  over the neighborhood.  This allows N-dimensional implementations of
  convolution and finite differences to be implemented succintly.
  This class of iterators is described in detail on the page
  \ref NeighborhoodIteratorsPage.


  \subsection STL ImageIterators vs. STL Iterators

  Given the breadth and complexity of ImageIterators, they are designed to
  operate slightly differently than STL iterators.  In STL, you ask a
  container for an iterator that will traverse the container.  Furthermore,
  in STL, you frequently compare an iterator against another iterator.
  Here is a loop to walk over an STL vector.

  \code
  for (it = vec.begin(); it != vec.end(); ++it)
    {}
  \endcode

  ImageIterators, unfortunately, are more complicated than STL iterators.
  ImageIterators need to store more state information than STL iterators.
  As one example, ImageIterators can walk a region of an image and an
  image can have multiple ImageIterators traversing different
  regions simultaneously. Thus, each ImageIterator must maintain which region
  it traverses. This results in a fairly heavyweight iterator, where
  comparing two ImageIterators and constructing iterators is an
  expensive operation. To address this issue, ImageIterators have a
  slightly different API than STL iterators.

  First, you do not ask the container (the image) for an iterator.  Instead,
  you construct an iterator and tell it which image to traverse.  Here
  is a snippet of code to construct an iterator that will walk a region
  of an image:

  \code
  ImageType::Pointer im = GetAnImageSomeHow();

  ImageIterator  it( im, im->GetRequestedRegion() );
  \endcode

  Second, since constructing and comparing ImageIterators is expensive,
  ImageIterators know the beginning and end of the region.  So you ask the
  iterator rather than the container whether the iterator is at the end of
  a region.

  \code
  for (it = it.Begin(); !it.IsAtEnd(); ++it)
  {
    it.Set( 10 );
  }
  \endcode


  \subsection IteratorsRegions Regions
  Iterators are typically defined to walk a region of an image. ImageRegions
  are defined to be rectangular prisms. (Insight also has a number of
  iterators that can walk a region defined by a spatial function.)
  The region for an iterator is defined at constructor time.  Regions
  are not validated, so the programmer is responsible for assigning a
  region that is within the image. Iterator methods Begin() and End()
  are defined relative to the region.  See below.

  \section IteratorAPI Iterator API

  \subsection IteratorsPositioning Position

  \subsection IteratorsIntervals Half Open Intervals - Begin/End
  Like most iterator implementations, ImageIterators walk a half-open
  interval.  Begin is defined as the first pixel in the region. End is
  defined as one pixel past the last pixel in the region (one pixel
  past in the same row). So Begin points a valid pixel in the region
  and End points to a pixel that is outside the region.

  \subsection IteratorsDereferencing Dereferencing

  In order to get access to the image data pointed by the iterator,
  dereferencing is required. This is equivalent to the classical
  "C" dereferencing code :

  \code
  PixelType * p;    // creation of the pointer
  *p = 100;         // write access to a data
  PixelType a = *p; // read access to data
  \endcode

  Iterators dereference data using <TT>Set()</TT> and <TT>Get()</TT>

  \code
  imageIterator.Set( 100 );
  PixelType a = imageIterator.Get();
  \endcode


  \subsection IteratorsOperatorPlusPlus operator++

  The ++ operator will move the image iterator to the next pixel,
  according to the particular order in which this iterator walks
  the imaage.

  \subsection IteratorsOperatorMinusMinus operator--

  The -- operator will move the image iterator to the previous pixel,
  according to the particular order in which this iterator walks
  the imaage.

  \subsection IteratorsIteratorsBegin Begin()
  Begin() returns an iterator for the same image and region as the current
  iterator but positioned at the first pixel in the region. The current iterator
  is not modified.

  \subsection IteratorsIteratorsEnd End()
  End() returns an iterator for the same image and region as the current
  iterator but positioned one pixel past the last pixel in the region.
  The current iterator is not modified.

  \subsection IteratorsIteratorsGotoBegin GotoBegin()
  GotoBegin() repositions the iterator to the first pixel in the region.

  \subsection IteratorsGotoEnd GotoEnd()
  GotoEnd() repositions the iterator to one pixel past (in the same
  row) the last pixel in the region.

  \subsection IteratorsIsAtBegin IsAtBegin()
  IsAtBegin() returns true if the iterator is positioned at the first
  pixel in the region, returns false otherwise. IsAtBegin() is faster than
  comparing an iterator for equivalence to the iterator returned by Begion().

  \code
  if (it.IsAtBegin()) {}   // Fast

  if (it == it.Begin()) {} // Slow
  \endcode

  \subsection IteratorsIsAtEnd IsAtEnd()
  IsAtEnd() returns true if the iterator is positioned one pixel past
  the last pixel in the region, returns false otherwise. IsAtEnd()
  is faster than comparing an iterator for equivalence to the iterator
  returned by End().

  \code
  if (it.IsAtEnd()) {}   // Fast

  if (it == it.End()) {} // Slow
  \endcode


  \section IteratorFinalComment Final Comments

  In general, iterators are not the kind of objects that users of the
  toolkit would need to use. They are rather designed to be used by
  code developers that add new components to the toolkit, like writing
  a new Image filter, for example.

  Before starting to write code that use iterators, users should consider
  to verify if the particular operation they intend to apply to the image
  is not already defined in the form of an existing image filter.


*/
