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

  Program:   Visualization Toolkit
  Module:    $RCSfile: vtkImageMarchingCubes.h,v $
  Language:  C++
  Date:      $Date: 2002/08/30 21:05:16 $
  Version:   $Revision: 1.36 $

  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.

     THIS CLASS IS PATENTED UNDER UNITED STATES PATENT NUMBER 4,710,876
     "System and Method for the Display of Surface Structures Contained
     Within The Interior Region of a Solid body".
     Application of this software for commercial purposes requires 
     a license grant from GE. Contact:

         Carl B. Horton
         Sr. Counsel, Intellectual Property
         3000 N. Grandview Blvd., W-710
         Waukesha, WI  53188
         Phone:  (262) 513-4022
         E-Mail: Carl.Horton@med.ge.com

     for more information.

=========================================================================*/
// .NAME vtkImageMarchingCubes - generate isosurface(s) from volume/images
// .SECTION Description
// vtkImageMarchingCubes is a filter that takes as input images (e.g., 3D
// image region) and generates on output one or more isosurfaces.
// One or more contour values must be specified to generate the isosurfaces.
// Alternatively, you can specify a min/max scalar range and the number of
// contours to generate a series of evenly spaced contour values.
// This filter can stream, so that the entire volume need not be loaded at
// once.  Streaming is controlled using the instance variable
// InputMemoryLimit, which has units KBytes.

// .SECTION Caveats
// This filter is specialized to volumes. If you are interested in 
// contouring other types of data, use the general vtkContourFilter. If you
// want to contour an image (i.e., a volume slice), use vtkMarchingSquares.
// .SECTION See Also
// vtkContourFilter vtkSliceCubes vtkMarchingSquares vtkDividingCubes


#ifndef __vtkImageMarchingCubes_h
#define __vtkImageMarchingCubes_h

#include "vtkPolyDataSource.h"

#include "vtkContourValues.h" // Needed for direct access to ContourValues

class vtkCellArray;
class vtkFloatArray;
class vtkImageData;
class vtkPoints;

class VTK_PATENTED_EXPORT vtkImageMarchingCubes : public vtkPolyDataSource
{
public:
  static vtkImageMarchingCubes *New();
  vtkTypeRevisionMacro(vtkImageMarchingCubes,vtkPolyDataSource);
  void PrintSelf(ostream& os, vtkIndent indent);
  
  // Description:
  // Set/Get the source for the scalar data to contour.
  void SetInput(vtkImageData *input);
  vtkImageData *GetInput();
  
  // Methods to set contour values
  void SetValue(int i, float value);
  float GetValue(int i);
  float *GetValues();
  void GetValues(float *contourValues);
  void SetNumberOfContours(int number);
  int GetNumberOfContours();
  void GenerateValues(int numContours, float range[2]);
  void GenerateValues(int numContours, float rangeStart, float rangeEnd);

  // Because we delegate to vtkContourValues & refer to vtkImplicitFunction
  unsigned long int GetMTime();

  // Description:
  // Set/Get the computation of scalars.
  vtkSetMacro(ComputeScalars, int);
  vtkGetMacro(ComputeScalars, int);
  vtkBooleanMacro(ComputeScalars, int);
  
  // Description:
  // Set/Get the computation of normals. Normal computation is fairly expensive
  // in both time and storage. If the output data will be processed by filters
  // that modify topology or geometry, it may be wise to turn Normals and Gradients off.
  vtkSetMacro(ComputeNormals, int);
  vtkGetMacro(ComputeNormals, int);
  vtkBooleanMacro(ComputeNormals, int);
  
  // Description:
  // Set/Get the computation of gradients. Gradient computation is fairly expensive
  // in both time and storage. Note that if ComputeNormals is on, gradients will
  // have to be calculated, but will not be stored in the output dataset.
  // If the output data will be processed by filters that modify topology or
  // geometry, it may be wise to turn Normals and Gradients off.
  vtkSetMacro(ComputeGradients, int);
  vtkGetMacro(ComputeGradients, int);
  vtkBooleanMacro(ComputeGradients, int);
  
  // Should be protected, but the templated functions need these
  int ComputeScalars;
  int ComputeNormals;
  int ComputeGradients;
  int NeedGradients;

  vtkCellArray *Triangles;
  vtkFloatArray *Scalars;
  vtkPoints *Points;
  vtkFloatArray *Normals;
  vtkFloatArray *Gradients;
  
  int GetLocatorPoint(int cellX, int cellY, int edge);
  void AddLocatorPoint(int cellX, int cellY, int edge, int ptId);
  void IncrementLocatorZ();

  void Update();
  
  // Description:
  // The InputMemoryLimit determines the chunk size (the number of slices
  // requested at each iteration).  The units of this limit is KiloBytes.
  // For now, only the Z axis is split.
  vtkSetMacro(InputMemoryLimit, int);
  vtkGetMacro(InputMemoryLimit, int);

protected:
  vtkImageMarchingCubes();
  ~vtkImageMarchingCubes();

  int NumberOfSlicesPerChunk;
  int InputMemoryLimit;

  vtkContourValues *ContourValues;
   
  int *LocatorPointIds;
  int LocatorDimX;
  int LocatorDimY;
  int LocatorMinX;
  int LocatorMinY;
  
  void Execute();

  void March(vtkImageData *inData, int chunkMin, int chunkMax,
             int numContours, float *values);
  void InitializeLocator(int min0, int max0, int min1, int max1);
  void DeleteLocator();
  int *GetLocatorPointer(int cellX, int cellY, int edge);
private:
  vtkImageMarchingCubes(const vtkImageMarchingCubes&);  // Not implemented.
  void operator=(const vtkImageMarchingCubes&);  // Not implemented.
};

// Description:
// Set a particular contour value at contour number i. The index i ranges 
// between 0<=i<NumberOfContours.
inline void vtkImageMarchingCubes::SetValue(int i, float value)
{this->ContourValues->SetValue(i,value);}

// Description:
// Get the ith contour value.
inline float vtkImageMarchingCubes::GetValue(int i)
{return this->ContourValues->GetValue(i);}

// Description:
// Get a pointer to an array of contour values. There will be
// GetNumberOfContours() values in the list.
inline float *vtkImageMarchingCubes::GetValues()
{return this->ContourValues->GetValues();}

// Description:
// Fill a supplied list with contour values. There will be
// GetNumberOfContours() values in the list. Make sure you allocate
// enough memory to hold the list.
inline void vtkImageMarchingCubes::GetValues(float *contourValues)
{this->ContourValues->GetValues(contourValues);}

// Description:
// Set the number of contours to place into the list. You only really
// need to use this method to reduce list size. The method SetValue()
// will automatically increase list size as needed.
inline void vtkImageMarchingCubes::SetNumberOfContours(int number)
{this->ContourValues->SetNumberOfContours(number);}

// Description:
// Get the number of contours in the list of contour values.
inline int vtkImageMarchingCubes::GetNumberOfContours()
{return this->ContourValues->GetNumberOfContours();}

// Description:
// Generate numContours equally spaced contour values between specified
// range. Contour values will include min/max range values.
inline void vtkImageMarchingCubes::GenerateValues(int numContours, float range[2])
{this->ContourValues->GenerateValues(numContours, range);}

// Description:
// Generate numContours equally spaced contour values between specified
// range. Contour values will include min/max range values.
inline void vtkImageMarchingCubes::GenerateValues(int numContours, float
                                                 rangeStart, float rangeEnd)
{this->ContourValues->GenerateValues(numContours, rangeStart, rangeEnd);}

#endif



