/*=========================================================================

  Program:   Visualization Toolkit
  Module:    vtkImageQuantizeRGBToIndex.cxx
  Language:  C++
  Date:      $Date$
  Version:   $Revision$

  Copyright (c) 1993-2002 Ken Martin, Will Schroeder, Bill Lorensen 
  All rights reserved.
  See Copyright.txt or http://www.kitware.com/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 notice for more information.

=========================================================================*/
#include "vtkImageQuantizeRGBToIndex.h"

#include "vtkImageData.h"
#include "vtkLookupTable.h"
#include "vtkObjectFactory.h"
#include "vtkTimerLog.h"

#include <math.h>

vtkCxxRevisionMacro(vtkImageQuantizeRGBToIndex, "1.34");
vtkStandardNewMacro(vtkImageQuantizeRGBToIndex);

class vtkColorQuantizeNode
{
public:
  vtkColorQuantizeNode() 
    { this->Axis = -1; this->SplitPoint = -1; this->Index = -1; 
      this->Child1 = NULL; this->Child2 = NULL;
      this->StdDev[0] = this->StdDev[1] = this->StdDev[2] = 0.0;
      this->Histogram[0] = this->Histogram[1] = this->Histogram[2] = NULL; 
      this->Image = NULL;
      this->Bounds[0] = 0; this->Bounds[1] = 256; 
      this->Bounds[2] = 0; this->Bounds[3] = 256; 
      this->Bounds[4] = 0; this->Bounds[5] = 256; };

  ~vtkColorQuantizeNode()
    { if ( this->Histogram[0] ) { delete []this->Histogram[0]; }
      if ( this->Histogram[1] ) { delete []this->Histogram[1]; }
      if ( this->Histogram[2] ) { delete []this->Histogram[2]; }
      if ( this->Child1 ) { delete this->Child1; }
      if ( this->Child2 ) { delete this->Child2; } };

  void SetImageExtent( int v[6] ) 
    { memcpy( this->ImageExtent, v, 6*sizeof(int) ); };

  void SetImageIncrement( int v[3] )
    { memcpy( this->ImageIncrement, v, 3*sizeof(int) ); };

  void SetImageType( float type ) { this->ImageType = (int)type; };

  void SetImage( void *image ) { this->Image = image; };

  int  GetAxis(       ) { return this->Axis; };
  void SetAxis( int v ) { this->Axis = v; };

  int  GetSplitPoint(       ) { return this->SplitPoint; };
  void SetSplitPoint( int v ) { this->SplitPoint = v; };

  int *GetBounds(          ) { return this->Bounds; };
  void SetBounds( int v[6] ) { memcpy( this->Bounds, v, 6*sizeof(int) ); };

  int  GetIndex(       ) { return this->Index; };
  void SetIndex( int v ) { this->Index = v; };

  float GetStdDev( int axis ) { return this->StdDev[axis]; };
  void  ComputeStdDev();

  int GetCount() { return this->Count; };

  float GetMean( int axis ) { return this->Mean[axis]; };

  void Divide( int axis, int nextIndex );

  vtkColorQuantizeNode *GetChild1() { return this->Child1; };
  void SetChild1( vtkColorQuantizeNode *n ) { this->Child1 = n; };

  vtkColorQuantizeNode *GetChild2() { return this->Child2; };
  void SetChild2( vtkColorQuantizeNode *n ) { this->Child2 = n; };

  int GetIndex( int c[3] ) 
    {  if ( this->Index>=0 ) {return this->Index;}
       if ( c[this->Axis]>this->SplitPoint ) 
         {return this->Child2->GetIndex(c);}
       return this->Child1->GetIndex(c); };
    

  void GetAverageColor( int c[3] ) 
    { if ( this->AverageCount ) {
      c[0] = (int)(this->AverageColor[0] / this->AverageCount);
      c[1] = (int)(this->AverageColor[1] / this->AverageCount);
      c[2] = (int)(this->AverageColor[2] / this->AverageCount); } };

  void StartColorAveraging() 
    {if (this->Child1) 
      {
      this->Child1->StartColorAveraging(); this->Child2->StartColorAveraging();
      }
    else
      {
      this->AverageCount = 0;
      this->AverageColor[0] = 
        this->AverageColor[1] = this->AverageColor[2] = 0.0;
      }
    };

  void AddColor( int c[3] )
    { this->AverageCount++; this->AverageColor[0] += c[0];
      this->AverageColor[1] += c[1]; this->AverageColor[2] += c[2]; };

protected:
  int                  Axis;
  int                  SplitPoint;
  int                  Bounds[6];
  int                  Index;
  float                StdDev[3];
  float                Median[3];
  float                Mean[3];
  int                  Count;
  int                  AverageCount;
  float                AverageColor[3];
  int                  ImageIncrement[3];
  int                  ImageExtent[6];
  int                  ImageType;
  void                 *Image;
  int                  *Histogram[3];
  vtkColorQuantizeNode *Child1, *Child2;
};

template <class T>
void vtkImageQuantizeRGBToIndexHistogram( T *inPtr, int extent[6],
                                          int inIncrement[3], int type,
                                          int bounds[6], int *histogram[3] )
{
  T      *rgbPtr, v[3];
  int    x, y, z, c;
  int    value[3];
  int    max[3];

  max[0] = bounds[1] - bounds[0] + 1;
  max[1] = bounds[3] - bounds[2] + 1;
  max[2] = bounds[5] - bounds[4] + 1;

  for ( c = 0; c < 3; c++ )
    {
    for ( x = 0; x < max[c]; x++ )
      {
      histogram[c][x] = 0;
      }
    }

  // Generate the histogram
  rgbPtr = inPtr;
  for (z = extent[4]; z <= extent[5]; z++)
    {
    for (y = extent[2]; y <= extent[3]; y++)
      {
      for (x = extent[0]; x <= extent[1]; x++)
        {
        if ( type == VTK_UNSIGNED_CHAR )
          {
          v[0] = *(rgbPtr++) - bounds[0];
          v[1] = *(rgbPtr++) - bounds[2];
          v[2] = *(rgbPtr++) - bounds[4];
          if ( (int)v[0] < max[0] && (int)v[1] < max[1] && (int)v[2] < max[2] )
            {
            histogram[0][(unsigned char)v[0]]++;  
            histogram[1][(unsigned char)v[1]]++;  
            histogram[2][(unsigned char)v[2]]++;  
            }
          }
        else if ( type == VTK_UNSIGNED_SHORT )
          {
          v[0] = (((unsigned short)(*(rgbPtr++)))>>8) - bounds[0];
          v[1] = (((unsigned short)(*(rgbPtr++)))>>8) - bounds[2];
          v[2] = (((unsigned short)(*(rgbPtr++)))>>8) - bounds[4];
          if ((int)(v[0]) < max[0] && (int)(v[1]) < max[1] && (int)(v[2]) < max[2] )
            {
            histogram[0][(unsigned short)v[0]]++;  
            histogram[1][(unsigned short)v[1]]++;  
            histogram[2][(unsigned short)v[2]]++;  
            }
          }
        else
          {
          value[0] = (int)( *(rgbPtr++) * 255.5 ) - bounds[0];
          value[1] = (int)( *(rgbPtr++) * 255.5 ) - bounds[2];
          value[2] = (int)( *(rgbPtr++) * 255.5 ) - bounds[4];
          if ( (int)(v[0]) < max[0] && (int)(v[1]) < max[1] && (int)(v[2]) < max[2] )
            {
            histogram[0][value[0]]++;
            histogram[1][value[1]]++;
            histogram[2][value[2]]++;
            }
          }
        rgbPtr += inIncrement[0];
        }
      rgbPtr += inIncrement[1];
      }
    rgbPtr += inIncrement[2];
    }
}

// This templated function executes the filter for supported types of data.
template <class T>
void vtkImageQuantizeRGBToIndexExecute(vtkImageQuantizeRGBToIndex *self,
                                       vtkImageData *inData, T *inPtr,
                                       vtkImageData *outData, 
                                       unsigned short *outPtr)
{
  int                  extent[6];
  int                  inIncrement[3], outIncrement[3];
  T                    *rgbPtr;
  unsigned short       *indexPtr;
  int                  x, y, z, c;
  int                  type;
  vtkColorQuantizeNode *root, *tmp;
  vtkColorQuantizeNode *leafNodes[65536];
  int                  numLeafNodes;
  int                  maxdevAxis = 0, maxdevLeafNode = 0;
  float                maxdev, dev;
  int                  leaf, axis;
  int                  cannotDivideFurther;
  vtkLookupTable       *lut;
  float                color[4];
  int                  rgb[3];
  vtkTimerLog          *timer;
  int                  totalCount;
  float                weight;
  int                  done=0;
  
  timer = vtkTimerLog::New();
  timer->StartTimer();
  type = self->GetInputType();

  // need extent to get increments. 
  // in and out extents are the same
  inData->GetExtent( extent );

  inData->GetContinuousIncrements(extent, inIncrement[0], 
                                  inIncrement[1], inIncrement[2]);
  outData->GetContinuousIncrements(extent, outIncrement[0], 
                                  outIncrement[1], outIncrement[2]);
  
  timer->StopTimer();

  self->SetInitializeExecuteTime( timer->GetElapsedTime() );
  timer->StartTimer();

  // Build the tree  
  // Create the root node - it is our only leaf node
  root = new vtkColorQuantizeNode;
  root->SetIndex( 0 );
  root->SetImageExtent( extent );
  root->SetImageIncrement( inIncrement );
  root->SetImageType( type );
  root->SetImage( inPtr );
  root->ComputeStdDev();
  leafNodes[0] = root;
  numLeafNodes = 1;

  cannotDivideFurther = 0;

  totalCount = 
    (extent[1] - extent[0] + 1) *
    (extent[3] - extent[2] + 1) *
    (extent[5] - extent[4] + 1);

  // Loop until we've added enough leaf nodes or we can't add any more
  while ( numLeafNodes < self->GetNumberOfColors() && !cannotDivideFurther )
    {
    // Find leaf node / axis with maximum deviation 
    maxdev = 0.0;
    for ( leaf = 0; leaf < numLeafNodes; leaf++ )
      {
      for ( axis = 0; axis < 3; axis++ )
        {
        dev = leafNodes[leaf]->GetStdDev( axis );
        weight = (float)(leafNodes[leaf]->GetCount())/(float)(totalCount);
        dev *= weight;
        if ( dev > maxdev )
          {
          maxdevAxis     = axis;
          maxdevLeafNode = leaf;
          maxdev         = dev;
          }
        }
      }
    if ( maxdev == 0.0 )
      {
      cannotDivideFurther = 1;
      }
    else
      {
      leafNodes[maxdevLeafNode]->Divide( maxdevAxis, numLeafNodes ); 
      leafNodes[numLeafNodes]   = leafNodes[maxdevLeafNode]->GetChild1();
      leafNodes[maxdevLeafNode] = leafNodes[maxdevLeafNode]->GetChild2();
      numLeafNodes++;      
      }
    
    self->UpdateProgress(0.6667*numLeafNodes/self->GetNumberOfColors());
    }

  timer->StopTimer();
  self->SetBuildTreeExecuteTime( timer->GetElapsedTime() );
  timer->StartTimer();

  root->StartColorAveraging();

  // Fill in the indices in the output image
  indexPtr = outPtr;
  rgbPtr   = inPtr;
  for (z = extent[4]; z <= extent[5]; z++)
    {
    for (y = extent[2]; !self->AbortExecute && y <= extent[3]; y++)
      {
      for (x = extent[0]; x <= extent[1]; x++)
        {
        for (c = 0; c < 3; c++)
          {
          if ( type == VTK_UNSIGNED_CHAR )
            {
            rgb[c]  = (int)(*rgbPtr);
            }
          else if ( type == VTK_UNSIGNED_SHORT )
            {
            rgb[c] = ((unsigned short)(*rgbPtr))>>8;
            }
          else
            {
            rgb[c] = (int)(*rgbPtr * 255.5);
            }
          rgbPtr++;       
          }
        tmp = root;
        while( !done )
          {
          if ( tmp->GetIndex() != -1 )
            {
            *indexPtr = tmp->GetIndex();
            break;
            }
          if ( rgb[tmp->GetAxis()] > tmp->GetSplitPoint() )
            {
            tmp = tmp->GetChild2();
            }
          else
            {
            tmp = tmp->GetChild1();
            }
          }
        tmp->AddColor( rgb );
        indexPtr++;

        rgbPtr   += inIncrement[0];
        indexPtr += outIncrement[0];
        }
      rgbPtr   += inIncrement[1];
      indexPtr += outIncrement[1];
      }
    rgbPtr   += inIncrement[2];
    indexPtr += outIncrement[2];
    }

  self->UpdateProgress(0.90);

  // Fill in the lookup table
  lut = self->GetLookupTable();
  lut->SetNumberOfTableValues( numLeafNodes );
  lut->SetNumberOfColors( numLeafNodes );
  lut->SetTableRange( 0, numLeafNodes-1 );
  color[3] = 1.0;
  for ( leaf = 0; leaf < numLeafNodes; leaf++ )
    {
    leafNodes[leaf]->GetAverageColor( rgb );
    color[0] = rgb[0] / 255.0;
    color[1] = rgb[1] / 255.0;
    color[2] = rgb[2] / 255.0;
    lut->SetTableValue( leafNodes[leaf]->GetIndex(), color );
    }


  timer->StopTimer();
  self->SetLookupIndexExecuteTime( timer->GetElapsedTime() );
  timer->Delete();

  delete root;
}

        
void vtkColorQuantizeNode::ComputeStdDev()
{
  int   i, j;
  float mean;
  int   count=0;
  int   medianCount;

  // Create space for histogram
  this->Histogram[0] = new int[this->Bounds[1] - this->Bounds[0] + 1];
  this->Histogram[1] = new int[this->Bounds[3] - this->Bounds[2] + 1];
  this->Histogram[2] = new int[this->Bounds[5] - this->Bounds[4] + 1];

  // Create histogram
  switch (this->ImageType)
    {
    vtkTemplateMacro6(vtkImageQuantizeRGBToIndexHistogram, 
                      (VTK_TT *)this->Image, this->ImageExtent, 
                      this->ImageIncrement, this->ImageType,
                      this->Bounds, this->Histogram );
    }


  // Compute for r, g, and b
  for ( i = 0; i < 3; i++ )
    {
    // Compute the mean 
    mean  = 0;
    count = 0;
    for ( j = 0; j <= (this->Bounds[i*2 + 1] - this->Bounds[i*2]); j++ )
      {
      count += this->Histogram[i][j];
      mean  += this->Histogram[i][j] * (j + this->Bounds[i*2]);
      }
    if (count>0)
      {
      mean /= (float)count;
      }
    else
      {
      mean = 0;
      }
    this->Mean[i] = mean;

    // Must have some minimum distance to subdivide - if we
    // are below this distance limit, don't compute a 
    // standard deviation since we don't want to subdivide this
    // node along this axis. Set the deviation to 0.0 and continue.
    if ( this->Bounds[i*2 + 1] == this->Bounds[i*2] )
      {
      this->StdDev[i] = 0.0;
      continue;
      }


    // Where is the median?
    medianCount = count / 2;

    // Initialize the median to unset
    this->Median[i] = -1;

    // Compute the standard deviation and the location of the median
    this->StdDev[i] = 0;
    count = 0;
    for ( j = 0; j <= (this->Bounds[i*2 + 1] - this->Bounds[i*2]); j++ )
      {
      count += this->Histogram[i][j];
      this->StdDev[i] += (float)this->Histogram[i][j] * 
        ((float)j+this->Bounds[i*2]-mean) * 
        ((float)j+this->Bounds[i*2]-mean); 
      if ( this->Median[i] == -1 && count > medianCount )
        {
        this->Median[i] = j + this->Bounds[i*2];
        }
      }

    // If our median is at the upper bound, bump down by one. This will
    // help in the cases where we have a distance of 2 in this dimension,
    // and just over half the entries are in the second bucket. We
    // still want to divide - the division needs to be at the first 
    // bucket.
    if ( this->Median[i] == this->Bounds[i*2 + 1] )
      {
      this->Median[i]--;
      }

    // Do the final division and square root to get the standard deviation
    if (count>0)
      {
      this->StdDev[i] /= (float)count;
      }
    else
      {
      this->StdDev[i] = 0;
      }
      
    this->StdDev[i] = sqrt( this->StdDev[i] );
    }

  // Should all be the same - just take the last one
  this->Count = count;
}

void vtkColorQuantizeNode::Divide( int axis, int nextIndex ) 
{
  int newBounds[6];

  this->Child1 = new vtkColorQuantizeNode;
  this->Child2 = new vtkColorQuantizeNode;

  memcpy( newBounds, this->Bounds, 6*sizeof(int) );

  newBounds[axis*2 + 1] = (int)(this->Median[axis]);  
  this->Child1->SetBounds( newBounds );

  newBounds[axis*2] = (int)(this->Median[axis] + 1);
  newBounds[axis*2 + 1] = (int)(this->Bounds[axis*2 + 1]);
  this->Child2->SetBounds( newBounds );

  this->SplitPoint = (int)(this->Median[axis]);
  this->Axis = axis;

  this->Child1->SetIndex( this->Index );
  this->Child2->SetIndex( nextIndex );
  this->Index = -1;

  delete [] this->Histogram[0];
  delete [] this->Histogram[1];
  delete [] this->Histogram[2];

  this->Histogram[0] = NULL;
  this->Histogram[1] = NULL;
  this->Histogram[2] = NULL;

  this->Child1->SetImageExtent( this->ImageExtent );
  this->Child1->SetImageIncrement( this->ImageIncrement );
  this->Child1->SetImageType( this->ImageType );
  this->Child1->SetImage( this->Image );

  this->Child2->SetImageExtent( this->ImageExtent );
  this->Child2->SetImageIncrement( this->ImageIncrement );
  this->Child2->SetImageType( this->ImageType );
  this->Child2->SetImage( this->Image );

  this->Child1->ComputeStdDev();
  this->Child2->ComputeStdDev();
}

// Constructor sets default values
vtkImageQuantizeRGBToIndex::vtkImageQuantizeRGBToIndex()
{
  this->LookupTable = vtkLookupTable::New();
  this->NumberOfColors = 256;
  this->InputType = VTK_UNSIGNED_SHORT;
  
  this->InitializeExecuteTime = 0.0;
  this->BuildTreeExecuteTime = 0.0;
  this->LookupIndexExecuteTime = 0.0;
}

// Destructor deletes used resources
vtkImageQuantizeRGBToIndex::~vtkImageQuantizeRGBToIndex()
{
  if ( this->LookupTable )
    {
    this->LookupTable->Delete();
    }
}

// This method is passed an input and output Data, and executes the filter
// algorithm to fill the output from the input.
// It just executes a switch statement to call the correct function for
// the Datas data types.
void vtkImageQuantizeRGBToIndex::ExecuteData(vtkDataObject *)
{
  void *inPtr;
  void *outPtr;
  vtkImageData *inData = this->GetInput();
  vtkImageData *outData = this->GetOutput();
  
  outData->SetExtent(outData->GetWholeExtent());
  outData->AllocateScalars();
  
  inPtr = inData->GetScalarPointer();
  outPtr = outData->GetScalarPointer();
  
  // Input must be 3 components (rgb)
  if (this->GetInput()->GetNumberOfScalarComponents() != 3)
    {
    vtkErrorMacro("This filter can handles only 3 components");
    return;
    }

  // this filter expects that output is type unsigned short.
  if (outData->GetScalarType() != VTK_UNSIGNED_SHORT)
    {
    vtkErrorMacro(<< "Execute: out ScalarType " << outData->GetScalarType()
                  << " must be unsigned short\n");
    return;
    }

  this->InputType = inData->GetScalarType();

  switch ( this->InputType )
    {
    vtkTemplateMacro5(vtkImageQuantizeRGBToIndexExecute, this, 
                      inData, (VTK_TT *)(inPtr), 
                      outData, (unsigned short *)(outPtr));
    default:
      vtkErrorMacro(<< "Execute: This ScalarType is not handled");
      return;
    }
}


// Change the output type and number of components
void vtkImageQuantizeRGBToIndex::ExecuteInformation(
                    vtkImageData *vtkNotUsed(inData), vtkImageData *outData)
{
  outData->SetNumberOfScalarComponents(1);
  outData->SetScalarType(VTK_UNSIGNED_SHORT);
}

// Get ALL of the input.
void vtkImageQuantizeRGBToIndex::ComputeInputUpdateExtent(int inExt[6],
                                                    int vtkNotUsed(outExt)[6])
{
  int *wholeExtent;

  wholeExtent = this->GetInput()->GetWholeExtent();
  memcpy(inExt, wholeExtent, 6*sizeof(int));
}

void vtkImageQuantizeRGBToIndex::PrintSelf(ostream& os, vtkIndent indent)
{
  this->Superclass::PrintSelf(os,indent);

  // Input Type is internal so we dont prit it
  //os << indent << "InputType: " << this->InputType << endl;

  os << indent << "Number Of Colors: " << this->NumberOfColors << endl;
  os << indent << "Lookup Table: " << endl << *this->LookupTable;
  os << indent << "Execute Time (in initialize stage): " << 
    this->InitializeExecuteTime << endl;
  os << indent << "Execute Time (in build tree stage): " << 
    this->BuildTreeExecuteTime << endl;
  os << indent << "Execute Time (in lookup index stage): " << 
    this->LookupIndexExecuteTime << endl;
}

