HistogramOfGradients.H

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/*!@file Features/HistogramOfGradients.H  */


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// The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2005   //
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// Major portions of the iLab Neuromorphic Vision Toolkit are protected //
// under the U.S. patent ``Computation of Intrinsic Perceptual Saliency //
// in Visual Environments, and Applications'' by Christof Koch and      //
// Laurent Itti, California Institute of Technology, 2001 (patent       //
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#ifndef HistogramOfGradients_H_DEFINED
#define HistogramOfGradients_H_DEFINED

#include "Util/Types.H"
#include "Image/Image.H"
#include "Image/Pixels.H"
#include "Image/ImageSet.H"
#include "SIFT/FeatureVector.H"

#include <vector>
#include <string>

class JunctionHOG;
class HistogramOfGradients
{

private:
  // No static initializations are allowed for this class, use references instead (protect against slicing)
  HistogramOfGradients & operator=(const HistogramOfGradients & other);

public:
  //! Constructor
  HistogramOfGradients(bool normalize=true, Dims cellDims = Dims(8,8), bool fixedCells = false, int numOrientations=9, bool signedOrient=false);

  virtual HistogramOfGradients *clone () { return new HistogramOfGradients(*this);}

  //! Destructor
  virtual ~HistogramOfGradients();

  //! Calculate the gradient of 1-3 chanels of images
  virtual void calculateGradient(const Image<float>& img, const Image<float>& img2, const Image<float>& img3, Image<float>& gradmag, Image<float>&gradang);

  //! Calculate histogram using a gradient
  virtual std::vector<float> createHistogramFromGradient(const Image<float>& gradmag, const Image<float>& gradang);

  //! Create histogram of max of gradient across 1-3 channels of an image
  virtual std::vector<float> createHistogram(const Image<float>& img, const Image<float>& img2=Image<float>(), const Image<float>& img3=Image<float>());

  //! Normalize block using nearby blocks
  virtual std::vector<float> normalizeFeatureVector(FeatureVector featureVector);

  //! Force angle to conform to oriSigned option and add to histogram
  virtual void addToBin(const float xf, const float yf, const float ang_in, const float mag, const bool oriSigned, FeatureVector &fv);

protected:
  //! Whether to normalize columns in the histogram
  bool itsNormalize;
  //! If fixed dims is true, itsCellDims is the number of cells in the histogram whose cell size depends on the input image
  //! If fixed dims is false, itsCellDims is the size of an individual cell, and the number of cells depends on the input image
  Dims itsCellDims;  
  //! If true, fix the size of the histogram no matter the image size, if false, fix the size of the cell no matter the image size
  bool itsFixedDims;
  //! Number of bins to categorize orientations
  int  itsOriBins;
  bool itsOriSigned;
  float itsEpsilon;

};


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#endif //