source: tags/release-1.0.6/src/ATrous/ReconSearch.cc @ 1391

#include <fstream>
#include <iostream>
#include <iomanip>
#include <vector>
#include <duchamp.hh>
#include <Cubes/cubes.hh>
#include <Detection/detection.hh>
#include <ATrous/atrous.hh>
#include <Utils/utils.hh>
#include <Utils/Statistics.hh>

void Cube::ReconSearch()
{
  /**
   * Cube::ReconSearch()
   *   The Cube is first reconstructed, using Cube::ReconCube().
   *   It is then searched, using searchReconArray.
   *   The resulting object list is stored in the Cube, and outputted
   *    to the log file if the user so requests.
   */
  
  this->ReconCube();

  this->setCubeStats();
    
  std::cout << "  Searching... " << std::flush;
  
  this->objectList = searchReconArray(this->axisDim,this->array,
                                      this->recon,this->par,this->Stats);

  this->updateDetectMap();
  if(this->par.getFlagLog()) this->logDetectionList();

}

/////////////////////////////////////////////////////////////////////////////
void Cube::ReconCube()
{
  /**
   * Cube::ReconSearch()
   *   A front-end to the various reconstruction functions, the choice of 
   *    which is determined by the use of the reconDim parameter.
   *   Differs from ReconSearch only in that no searching is done.
   */
  int dimRecon = this->par.getReconDim();
  // Test whether we have eg. an image, but have requested a 3-d 
  //  reconstruction.
  // If dimension of data array is less than dimRecon, change dimRecon 
  //  to the dimension of the array.
  int numGoodDim = 0;
  for(int i=0;i<this->numDim;i++) if(this->axisDim[i]>1) numGoodDim++;
  if(numGoodDim<dimRecon) dimRecon = numGoodDim;
  this->par.setReconDim(dimRecon);

  switch(dimRecon)
    {
    case 1: this->ReconCube1D(); break;
    case 2: this->ReconCube2D(); break;
    case 3: this->ReconCube3D(); break;
    default:
      if(dimRecon<=0){
        std::stringstream errmsg;
        errmsg << "reconDim (" << dimRecon
               << ") is less than 1. Performing 1-D reconstruction.\n";
        duchampWarning("ReconCube", errmsg.str());
        this->par.setReconDim(1);
        this->ReconCube1D();
      }
      else if(dimRecon>3){ 
        //this probably won't happen with new code above, but just in case...
        std::stringstream errmsg;
        errmsg << "reconDim (" << dimRecon
               << ") is more than 3. Performing 3-D reconstruction.\n";
        duchampWarning("ReconCube", errmsg.str());
        this->par.setReconDim(3);
        this->ReconCube3D();
      }
      break;
    }
}

/////////////////////////////////////////////////////////////////////////////
void Cube::ReconCube1D()
{
  /**
   * Cube::ReconCube1D()
   *   This reconstructs a cube by performing a 1D a trous reconstruction
   *   in the spectrum of each spatial pixel.
   */
  long xySize = this->axisDim[0] * this->axisDim[1];

  long zdim = this->axisDim[2];

  ProgressBar bar;
  if(!this->reconExists){
    std::cout<<"  Reconstructing... ";
    if(par.isVerbose()) bar.init(xySize);
    for(int npix=0; npix<xySize; npix++){

      if( par.isVerbose() ) bar.update(npix+1);

      float *spec = new float[zdim];
      float *newSpec = new float[zdim];
      for(int z=0;z<zdim;z++) spec[z] = this->array[z*xySize + npix];
      bool verboseFlag = this->par.isVerbose();
      this->par.setVerbosity(false);
      atrous1DReconstruct(this->axisDim[2],spec,newSpec,this->par);
      this->par.setVerbosity(verboseFlag);
      for(int z=0;z<zdim;z++) this->recon[z*xySize+npix] = newSpec[z];
      delete [] spec,newSpec;
    }
    this->reconExists = true;
    bar.rewind();
    std::cout << "  All Done.";
    printSpace(22);
    std::cout << "\n";
  }

}

/////////////////////////////////////////////////////////////////////////////
void Cube::ReconCube2D()
{
  /**
   * Cube::ReconCube2D()
   *   This reconstructs a cube by performing a 2D a trous reconstruction
   *   in each spatial image (ie. each channel map) of the cube.
   */
  long xySize = this->axisDim[0] * this->axisDim[1];
  ProgressBar bar;

  if(!this->reconExists){
    std::cout<<"  Reconstructing... ";
    if(par.isVerbose()) bar.init(this->axisDim[2]);
    for(int z=0;z<this->axisDim[2];z++){

      if( par.isVerbose() ) bar.update((z+1));

      if(!this->par.isInMW(z)){
        float *im = new float[xySize];
        float *newIm = new float[xySize];
        for(int npix=0; npix<xySize; npix++) 
          im[npix] = this->array[z*xySize+npix];
        bool verboseFlag = this->par.isVerbose();
        this->par.setVerbosity(false);
        atrous2DReconstruct(this->axisDim[0],this->axisDim[1],
                            im,newIm,this->par);
        this->par.setVerbosity(verboseFlag);
        for(int npix=0; npix<xySize; npix++) 
          this->recon[z*xySize+npix] = newIm[npix];
        delete [] im, newIm;
      }
      else {
        for(int i=z*xySize; i<(z+1)*xySize; i++) 
          this->recon[i] = this->array[i];
      }
    }
    this->reconExists = true;
    bar.rewind();
    std::cout << "  All Done.";
    printSpace(22);
    std::cout << "\n";
  }
}

/////////////////////////////////////////////////////////////////////////////
void Cube::ReconCube3D()
{
  /**
   * Cube::ReconCube3D()
   *   This performs a full 3D a trous reconstruction of the cube
   */
  if(this->axisDim[2]==1) this->ReconCube2D();
  else {

    if(!this->reconExists){
      std::cout<<"  Reconstructing... "<<std::flush;
      atrous3DReconstruct(this->axisDim[0],this->axisDim[1],this->axisDim[2],
                          this->array,this->recon,this->par);
      this->reconExists = true;
      std::cout << "  All Done.";
      printSpace(22);
      std::cout << "\n";
    }

  }
}

/////////////////////////////////////////////////////////////////////////////
vector <Detection> searchReconArray(long *dim, float *originalArray, 
                                    float *reconArray, Param &par,
                                    StatsContainer<float> &stats)
{
  /**
   * searchReconArray(long *dim, float *originalArray, 
   *                  float *reconArray, Param &par)
   *   This searches for objects in a cube that has been reconstructed.
   *
   *   Inputs:   - dimension array
   *             - original, un-reconstructed image array
   *             - reconstructed image array
   *             - parameters
   *
   *   Searches first in each spatial pixel (1D search), 
   *   then in each channel image (2D search).
   *
   *   Returns: vector of Detections resulting from the search.
   */
  vector <Detection> outputList;
  long zdim = dim[2];
  long xySize = dim[0] * dim[1];
  int num=0;

  bool *doPixel = new bool[xySize];
  // doPixel is a bool array to say whether to look in a given spectrum
  for(int npix=0; npix<xySize; npix++){
    doPixel[npix] = false;
    for(int z=0;z<zdim;z++) {
      doPixel[npix] = doPixel[npix] || 
        (!par.isBlank(originalArray[npix]) && !par.isInMW(z));
    }
    // doPixel[i] is false only when there are no good pixels in spectrum
    //  of pixel #i.
  }
 
  ProgressBar bar;
  // First search --  in each spectrum.
  if(zdim > 1){
    if(par.isVerbose()){
      std::cout << "1D: ";
      bar.init(xySize);
    }

    for(int npix=0; npix<xySize; npix++){

      if( par.isVerbose() ) bar.update(npix+1);

      if(doPixel[npix]){

        long *specdim = new long[2];
        specdim[0] = zdim; specdim[1]=1;
        Image *spectrum = new Image(specdim);
        delete [] specdim;
        spectrum->saveParam(par);
        spectrum->saveStats(stats);
        // beam size: for spectrum, only neighbouring channels correlated
        spectrum->extractSpectrum(reconArray,dim,npix);
        spectrum->setMinSize(par.getMinChannels());
        spectrum->removeMW(); // only works if flagMW is true
        spectrum->spectrumDetect();
        num += spectrum->getNumObj();
        for(int obj=0;obj<spectrum->getNumObj();obj++){
          Detection *object = new Detection;
          *object = spectrum->getObject(obj);
          for(int pix=0;pix<object->getSize();pix++) {
            // Fix up coordinates of each pixel to match original array
            object->setZ(pix, object->getX(pix));
            object->setX(pix, npix%dim[0]);
            object->setY(pix, npix/dim[0]);
            object->setF(pix, originalArray[object->getX(pix)+
                                            object->getY(pix)*dim[0]+
                                            object->getZ(pix)*xySize]); 
            // NB: set F to the original value, not the recon value.
          }
          object->addOffsets(par);
          object->calcParams();
          mergeIntoList(*object,outputList,par);
          delete object;
        }
        delete spectrum;
      }
    }

    num = outputList.size();
    if(par.isVerbose()) {
      bar.rewind();
      std::cout <<"Found " << num <<"; " << std::flush;
    }
  }

  // Second search --  in each channel
  if(par.isVerbose()){
    std::cout << "2D: ";
    bar.init(zdim);
  }

  num = 0;

  for(int z=0; z<zdim; z++){  // loop over all channels

    if( par.isVerbose() ) bar.update(z+1);

    if(!par.isInMW(z)){ 
      // purpose of this is to ignore the Milky Way channels 
      //  if we are flagging them

      long *imdim = new long[2];
      imdim[0] = dim[0]; imdim[1] = dim[1];
      Image *channelImage = new Image(imdim);
      channelImage->saveParam(par);
      channelImage->saveStats(stats);
      delete [] imdim;
      channelImage->extractImage(reconArray,dim,z);
      channelImage->setMinSize(par.getMinPix());
      channelImage->lutz_detect();
      num += channelImage->getNumObj();
      for(int obj=0;obj<channelImage->getNumObj();obj++){
        Detection *object = new Detection;
        *object = channelImage->getObject(obj);
        // Fix up z coordinates of each pixel to match original array 
        //   (x & y are fine)
        for(int pix=0;pix<object->getSize();pix++){
          object->setZ(pix, z);
          object->setF(pix, originalArray[object->getX(pix)+
                                          object->getY(pix)*dim[0]+
                                          z*xySize]); 
          // NB: set F to the original value, not the recon value.
        }
        object->addOffsets(par);
        object->calcParams();
        mergeIntoList(*object,outputList,par);
        delete object;
      }
      delete channelImage;
   }

  }

  bar.rewind();
  std::cout << "Found " << num << ".";
  printSpace(22);  
  std::cout << std::endl << std::flush;

  delete [] doPixel;

  return outputList;
}