NICE_SemSeg/semseg/postsegmentation/PPGraphCut.h

/**
 * @file PPGraphCut.h
 * @brief a post procession step after semantic segmentation which use a variant of GraphCut
 * @author Björn Fröhlich
 * @date 09/08/2009

 */
#ifndef PPGRAPHCUTINCLUDE
#define PPGRAPHCUTINCLUDE

#include "core/image/MultiChannelImageT.h"

#include "vislearning/cbaselib/CachedExample.h"
#include "vislearning/baselib/Preprocess.h"
#include "vislearning/baselib/Globals.h"

#include "vislearning/classifier/fpclassifier/randomforest/FPCRandomForests.h"

#include <vislearning/cbaselib/VectorFeature.h>

#include "vislearning/cbaselib/ClassNames.h"

#include "objrec/segmentation/RSMeanShift.h"

#include "objrec/mrf/mrfmin/GCoptimization.h"


namespace OBJREC {

class PPGraphCut : public Persistent
{

	protected:	
		//! the configfile
		const Config *conf;
		
		//! count of classes
		int classno;
		
		//! Shape features
		Examples shapefeats;
		
		//! classifier for shape features
		FPCRandomForests *rf;
		
		double *coocurence;
				
	public:
  
		/** simple constructor */
		PPGraphCut();
		
		/** simple constructor */
		PPGraphCut(const Config *_conf);
      
		/** simple destructor */
		~PPGraphCut();

		/**
		 * set the count of classes
		 * @param _classno count of classes
		 */
		void setClassNo(int _classno);
     
		/** initialize the RelativeLocationPrior Variables*/
		void Init();
				
		/**
		 * train region
		 * @param regions input regions with size and position
		 * @param mask
		 */
		void trainImage(Examples &regions, NICE::Matrix &mask);
		
		/**
		 * train region
		 * @param regions input regions with size and position
		 */
		void trainImage(RegionGraph &regions);
		
		
		/**
		 * finish the priors maps
		 */
		void finishPP(ClassNames &cn);
					
		/**
		 * use shape pp
		 * @param regions 
		 * @param mask 
		 * @param probabilities probability maps for each pixel
		 */
		void optimizeImage(Examples &regions, NICE::Matrix &mask, NICE::MultiChannelImageT<double> & probabilities);
		
		/**
		 * use shape pp
		 * @param regions 
		 * @param mask 
		 * @param probabilities for each region
		 */
		void optimizeImage(OBJREC::RegionGraph &regions, std::vector<std::vector<double> > & probabilities);
		
		/**
		 * load data from an input stream
		 * @param is input stream
		 * @param format 
		 */
		void restore (std::istream & is, int format = 0);
		
		/**
		 * write data to an output stream
		 * @param os outputstream
		 * @param format 
		 */
		void store (std::ostream & os, int format = 0) const;
		
		/**
		 * clear all informations
		 */
		void clear ();
};

} //namespace

#endif