NICE_VisLearning/features/regionfeatures/RFColor.cpp

#include "vislearning/features/regionfeatures/RFColor.h"

#include <iostream>

using namespace OBJREC;

using namespace std;
using namespace NICE;


RFColor::RFColor( const Config *_conf, const LocalFeature *_lf ):RegionFeatures(_conf)
{
	lf = _lf;
}

void RFColor::extract ( const NICE::Image & img, const RegionGraph &rg, const NICE::Matrix &mask, VVector & feats )
{
	fprintf (stderr, "RFColor::extract: please use ColorImage instead of GrayImage. This are Colorfeatures!!\n");
    exit(-1);
}

void RFColor::extractRGB ( const NICE::ColorImage & cimg, const RegionGraph &rg, const NICE::Matrix &mask, VVector & feats )
{
	int rgcount = rg.size();
	vector<vector<int> > means;
	for(int i = 0; i < 3; i ++)
	{
		vector<int> m(rgcount,0);
		means.push_back(m);
	}
		
	for(int y = 0; y < cimg.height(); y++)
	{
		for(int x = 0; x < cimg.width(); x++)
		{
			int pos = mask(x,y);
			for(int i = 0; i < 3; i++)
			{
				means[i][(int)pos] += cimg.getPixel(x,y,i);
			}
		}
	}
		
	ColorImage tmp(rgcount, 1);
		
	VVector positions;
	for(int j = 0; j < rgcount; j++)
	{
		for(int i = 0; i < 3; i++)
		{
			tmp.setPixel(j,0,i,(int)((double)means[i][j]/(double)rg[j]->getSize()));
		}
		Vector vec(2);
		vec[0] = j;
		vec[1] = 0;
		positions.push_back(vec);
	}
	lf->getDescriptors(tmp, positions, feats);
}

RFColor::~RFColor()
{
	
}