SeparableFilter.h

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//     ____   ______ __
//    / __ \ / ____// /
//   / /_/ // /    / /
//  / ____// /___ / /___   PixInsight Class Library
// /_/     \____//_____/   PCL 2.6.5
// ----------------------------------------------------------------------------
// pcl/SeparableFilter.h - Released 2024-01-13T15:47:58Z
// ----------------------------------------------------------------------------
// This file is part of the PixInsight Class Library (PCL).
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// ----------------------------------------------------------------------------
 
#ifndef __PCL_SeparableFilter_h
#define __PCL_SeparableFilter_h
 
 
#include <pcl/Defs.h>
#include <pcl/Diagnostics.h>
 
#include <pcl/Matrix.h>
#include <pcl/Vector.h>
 
namespace pcl
{
 
// ----------------------------------------------------------------------------
 
class PCL_CLASS SeparableFilter
{
public:
 
   using coefficient = float;
 
   using coefficient_vector = GenericVector<coefficient>;
 
   using coefficient_matrix = GenericMatrix<coefficient>;
 
   SeparableFilter( const String& name = String() )
      : filterName( name )
   {
   }
 
   SeparableFilter( int n, const String& name = String() )
      : rowFilter( PCL_VALID_KERNEL_SIZE( n ) )
      , colFilter( PCL_VALID_KERNEL_SIZE( n ) )
      , filterName( name )
   {
      PCL_PRECONDITION( n == 0 || n >= 3 )
      PCL_PRECONDITION( n == 0 || (n & 1) )
   }
 
   template <typename T>
   SeparableFilter( int n, const T& x, const String& name = String() )
      : rowFilter( x, PCL_VALID_KERNEL_SIZE( n ) )
      , colFilter( x, PCL_VALID_KERNEL_SIZE( n ) )
      , filterName( name )
   {
      PCL_PRECONDITION( n == 0 || n >= 3 )
      PCL_PRECONDITION( n == 0 || (n & 1) )
   }
 
   SeparableFilter( const coefficient_vector& h, const coefficient_vector& v, const String& name = String() )
      : rowFilter( h )
      , colFilter( v )
      , filterName( name )
   {
      PCL_PRECONDITION( v.Length() == h.Length() )
      PCL_PRECONDITION( v.IsEmpty() || v.Length() >= 3 )
      PCL_PRECONDITION( v.IsEmpty() || (v.Length() & 1) )
   }
 
   template <typename T>
   SeparableFilter( const T* h, const T* v, int n, const String& name = String() )
      : rowFilter( h, PCL_VALID_KERNEL_SIZE( n ) )
      , colFilter( v, PCL_VALID_KERNEL_SIZE( n ) )
      , filterName( name )
   {
      PCL_PRECONDITION( n == 0 || n >= 3 )
      PCL_PRECONDITION( n == 0 || (n & 1) )
   }
 
   SeparableFilter( const SeparableFilter& ) = default;
 
   SeparableFilter( SeparableFilter&& ) = default;
 
   virtual ~SeparableFilter()
   {
   }
 
   virtual SeparableFilter* Clone() const
   {
      return new SeparableFilter( *this );
   }
 
   SeparableFilter& operator =( const SeparableFilter& ) = default;
 
   SeparableFilter& operator =( SeparableFilter&& ) = default;
 
   SeparableFilter& operator =( const coefficient& x )
   {
      rowFilter = x;
      colFilter = x;
      return *this;
   }
 
   bool operator ==( const SeparableFilter& f ) const
   {
      return Name() == f.Name() && SameCoefficients( f );
   }
 
   String Name() const
   {
      return filterName;
   }
 
   virtual void Rename( const String& newName )
   {
      filterName = newName.Trimmed();
   }
 
   int Size() const
   {
      return rowFilter.Length(); // both 1D filters have the same length
   }
 
   virtual void Resize( int n )
   {
      PCL_PRECONDITION( n == 0 || n >= 3 )
      PCL_PRECONDITION( n == 0 || (n & 1) )
      if ( n == 0 )
         colFilter = rowFilter = coefficient_vector();
      else
         colFilter = rowFilter = coefficient_vector( PCL_VALID_KERNEL_SIZE( n ) );
   }
 
   bool IsEmpty() const
   {
      return rowFilter.IsEmpty(); // both 1D filters have the same length
   }
 
   coefficient_vector RowFilter() const
   {
      return rowFilter;
   }
 
   coefficient_vector ColumnFilter() const
   {
      return colFilter;
   }
 
   coefficient_vector ColFilter() const
   {
      return colFilter;
   }
 
   coefficient_vector Filter( int phase ) const
   {
      return phase ? colFilter : rowFilter;
   }
 
   double Weight() const
   {
      return rowFilter.Sum() * colFilter.Sum();
   }
 
   bool IsHighPassFilter() const
   {
      int s = -1;
      for ( coefficient_vector::const_iterator i = rowFilter.Begin(); i < rowFilter.End(); ++i )
         if ( *i != 0 )
            for ( s = *i < 0; ++i < rowFilter.End(); )
               if ( *i != 0 && (*i < 0) != s )
                  return true;
      for ( coefficient_vector::const_iterator i = colFilter.Begin(); i < colFilter.End(); ++i )
         if ( *i != 0 )
            for ( s = (s < 0) ? *i++ < 0 : s; i < colFilter.End(); ++i )
               if ( *i != 0 && (*i < 0) != s )
                  return true;
      return false;
   }
 
   bool SameCoefficients( const SeparableFilter& f ) const
   {
      return colFilter == f.colFilter && rowFilter == f.rowFilter;
   }
 
   virtual void Clear()
   {
      colFilter = rowFilter = coefficient_vector();
   }
 
protected:
 
   /*
    * Horizontal and vertical one-dimensional filters. The 2D filter matrix is
    * equal to the product of these two vectors.
    */
   coefficient_vector rowFilter;
   coefficient_vector colFilter;
 
   /*
    * Identifying name.
    */
   String filterName;
};
 
// ----------------------------------------------------------------------------
 
} // pcl
 
#endif   // __PCL_SeparableFilter_h
 
// ----------------------------------------------------------------------------
// EOF pcl/SeparableFilter.h - Released 2024-01-13T15:47:58Z