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RSGISMergeSmallClumps.cpp
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/*
* RSGISMergeSmallClumps.cpp
* RSGIS_LIB
*
* Created by Pete Bunting on 30/01/2012.
* Copyright 2012 RSGISLib.
*
* RSGISLib is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* RSGISLib is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with RSGISLib. If not, see <http://www.gnu.org/licenses/>.
*
*/
#include "RSGISMergeSmallClumps.h"
namespace rsgis{namespace segment{
RSGISMergeSmallClumps::RSGISMergeSmallClumps()
{
}
void RSGISMergeSmallClumps::mergeSmallClumps(GDALDataset *spectral, GDALDataset *clumps, unsigned int minClumpSize)
{
if(spectral->GetRasterXSize() != clumps->GetRasterXSize())
{
throw rsgis::img::RSGISImageCalcException("Widths are not the same");
}
if(spectral->GetRasterYSize() != clumps->GetRasterYSize())
{
throw rsgis::img::RSGISImageCalcException("Heights are not the same");
}
unsigned int width = spectral->GetRasterXSize();
unsigned int height = spectral->GetRasterYSize();
unsigned int numSpecBands = spectral->GetRasterCount();
unsigned int *clumpIdxs = new unsigned int[width];
float **spectralVals = new float*[numSpecBands];
GDALRasterBand **spectralBands = new GDALRasterBand*[numSpecBands];
for(unsigned int n = 0; n < numSpecBands; ++n)
{
spectralBands[n] = spectral->GetRasterBand(n+1);
spectralVals[n] = new float[width];
}
GDALRasterBand *clumpBand = clumps->GetRasterBand(1);
unsigned long clumpIdx = 0;
unsigned int uiPxlVal = 0;
unsigned long maxClumpIdx = 0;
for(unsigned int i = 0; i < height; ++i)
{
for(unsigned int j = 0; j < width; ++j)
{
clumpBand->RasterIO(GF_Read, j, i, 1, 1, &clumpIdx, 1, 1, GDT_UInt32, 0, 0);
if((i == 0) & (j == 0))
{
maxClumpIdx = clumpIdx;
}
else if(clumpIdx > maxClumpIdx)
{
maxClumpIdx = clumpIdx;
}
}
}
std::vector<rsgis::img::ImgClump*> *clumpTable = new std::vector<rsgis::img::ImgClump*>();
clumpTable->reserve(maxClumpIdx);
std::deque<rsgis::img::ImgClump*> smallClumps;
rsgis::img::ImgClump *cClump = NULL;
rsgis::img::ImgClump *tClump = NULL;
for(unsigned int i = 0; i < maxClumpIdx; ++i)
{
cClump = new rsgis::img::ImgClump(i+1);
cClump->sumVals = new float[numSpecBands];
cClump->meanVals = new float[numSpecBands];
cClump->pxls = new std::vector<rsgis::img::PxlLoc>();
cClump->active = true;
for(unsigned int n = 0; n < numSpecBands; ++n)
{
cClump->sumVals[n] = 0;
cClump->meanVals[n] = 0;
}
clumpTable->push_back(cClump);
}
std::cout << "Calculate Initial Clump Means\n";
for(unsigned int i = 0; i < height; ++i)
{
clumpBand->RasterIO(GF_Read, 0, i, width, 1, clumpIdxs, width, 1, GDT_UInt32, 0, 0);
for(unsigned int n = 0; n < numSpecBands; ++n)
{
spectralBands[n]->RasterIO(GF_Read, 0, i, width, 1, spectralVals[n], width, 1, GDT_Float32, 0, 0);
}
for(unsigned int j = 0; j < width; ++j)
{
if(clumpIdxs[j] != 0)
{
cClump = clumpTable->at(clumpIdxs[j] - 1);
for(unsigned int n = 0; n < numSpecBands; ++n)
{
cClump->sumVals[n] += spectralVals[n][j];
}
cClump->pxls->push_back(rsgis::img::PxlLoc(j, i));
}
}
}
for(std::vector<rsgis::img::ImgClump*>::iterator iterClumps = clumpTable->begin(); iterClumps != clumpTable->end(); ++iterClumps)
{
for(unsigned int n = 0; n < numSpecBands; ++n)
{
(*iterClumps)->meanVals[n] = (*iterClumps)->sumVals[n] / (*iterClumps)->pxls->size();
}
if((*iterClumps)->pxls->size() < minClumpSize)
{
smallClumps.push_back((*iterClumps));
}
}
std::cout << "There are " << clumpTable->size() << " clumps. " << smallClumps.size() << " are too small\n";
rsgis::img::PxlLoc tLoc;
std::list<unsigned long> neighbours;
unsigned long closestNeighbour = 0;
bool firstNeighbourTested = true;
float closestNeighbourDist = 0;
std::cout << "Eliminating Small Clumps." << std::endl;
long smallClumpsCounter = 0;
while(smallClumps.size() > 0)
{
if((smallClumpsCounter % 10000) == 0)
{
std::cout << "Eliminated " << smallClumpsCounter << " > " << smallClumps.size() << " to go...\r";
}
cClump = smallClumps.front();
smallClumps.pop_front();
// Check that the clump was not selected for a merging already and therefore over minimum size...
if((cClump->active) & (cClump->pxls->size() < minClumpSize))
{
// Get list of neighbours.
neighbours.clear();
for(std::vector<rsgis::img::PxlLoc>::iterator iterPxls = cClump->pxls->begin(); iterPxls != cClump->pxls->end(); ++iterPxls)
{
// Above
if(((long)(*iterPxls).yPos)-1 >= 0)
{
clumpBand->RasterIO(GF_Read, (*iterPxls).xPos, (*iterPxls).yPos-1, 1, 1, &uiPxlVal, 1, 1, GDT_UInt32, 0, 0);
if((uiPxlVal != cClump->clumpID) & (uiPxlVal != 0))
{
neighbours.push_back(uiPxlVal);
}
}
// Below
if(((long)(*iterPxls).yPos)+1 < height)
{
clumpBand->RasterIO(GF_Read, (*iterPxls).xPos, (*iterPxls).yPos+1, 1, 1, &uiPxlVal, 1, 1, GDT_UInt32, 0, 0);
if((uiPxlVal != cClump->clumpID) & (uiPxlVal != 0))
{
neighbours.push_back(uiPxlVal);
}
}
// Left
if(((long)(*iterPxls).xPos-1) >= 0)
{
clumpBand->RasterIO(GF_Read, (*iterPxls).xPos-1, (*iterPxls).yPos, 1, 1, &uiPxlVal, 1, 1, GDT_UInt32, 0, 0);
if((uiPxlVal != cClump->clumpID) & (uiPxlVal != 0))
{
neighbours.push_back(uiPxlVal);
}
}
// Right
if(((long)(*iterPxls).xPos+1) < width)
{
clumpBand->RasterIO(GF_Read, (*iterPxls).xPos+1, (*iterPxls).yPos, 1, 1, &uiPxlVal, 1, 1, GDT_UInt32, 0, 0);
if((uiPxlVal != cClump->clumpID) & (uiPxlVal != 0))
{
neighbours.push_back(uiPxlVal);
}
}
}
neighbours.sort();
neighbours.unique();
// Decide on which neighbour to measure with.
firstNeighbourTested = true;
for(std::list<unsigned long>::iterator iterClumps = neighbours.begin(); iterClumps != neighbours.end(); ++iterClumps)
{
if(firstNeighbourTested)
{
closestNeighbour = *iterClumps;
closestNeighbourDist = clumpTable->at((*iterClumps)-1)->pxls->size();
firstNeighbourTested = false;
}
else if(clumpTable->at((*iterClumps)-1)->pxls->size() < closestNeighbourDist)
{
closestNeighbour = *iterClumps;
closestNeighbourDist = clumpTable->at((*iterClumps)-1)->pxls->size();
}
}
// Perform Merge
if(!firstNeighbourTested)
{
// Update Clump Table
tClump = clumpTable->at(closestNeighbour-1);
for(size_t n = 0; n < cClump->pxls->size(); ++n)
{
tLoc = cClump->pxls->at(n);
tClump->pxls->push_back(tLoc);
// Update Pixel Values - in clump image.
clumpBand->RasterIO(GF_Write, tLoc.xPos, tLoc.yPos, 1, 1, &closestNeighbour, 1, 1, GDT_UInt32, 0, 0);
}
for(unsigned int b = 0; b < numSpecBands; ++b)
{
tClump->sumVals[b] += cClump->sumVals[b];
tClump->meanVals[b] = tClump->sumVals[b]/tClump->pxls->size();
}
delete cClump->sumVals;
delete cClump->meanVals;
delete cClump->pxls;
cClump->active = false;
// Is the new clump still to small?
// YES - add to queue...
if(tClump->pxls->size() < minClumpSize)
{
smallClumps.push_back(tClump);
}
}
}
++smallClumpsCounter;
}
std::cout << "Eliminated " << smallClumpsCounter << " small clumps\n";
for(std::vector<rsgis::img::ImgClump*>::iterator iterClumps = clumpTable->begin(); iterClumps != clumpTable->end(); ++iterClumps)
{
if((*iterClumps) != NULL)
{
if((*iterClumps)->active)
{
delete (*iterClumps)->sumVals;
delete (*iterClumps)->meanVals;
delete (*iterClumps)->pxls;
}
delete (*iterClumps);
}
}
delete clumpTable;
delete[] spectralBands;
delete[] clumpIdxs;
for(unsigned int n = 0; n < numSpecBands; ++n)
{
delete[] spectralVals[n];
}
delete[] spectralVals;
}
RSGISMergeSmallClumps::~RSGISMergeSmallClumps()
{
}
}}