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SLIC.cpp
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// SLIC.cpp: implementation of the SLIC class.
//
// Copyright (C) Radhakrishna Achanta 2012
// All rights reserved
// Email: [email protected]
//////////////////////////////////////////////////////////////////////
//#include "stdafx.h"
#include <cfloat>
#include <cmath>
#include <iostream>
#include <fstream>
#include "SLIC.h"
//////////////////////////////////////////////////////////////////////
// Construction/Destruction
//////////////////////////////////////////////////////////////////////
SLIC::SLIC()
{
m_lvec = NULL;
m_avec = NULL;
m_bvec = NULL;
m_lvecvec = NULL;
m_avecvec = NULL;
m_bvecvec = NULL;
}
SLIC::~SLIC()
{
if(m_lvec) delete [] m_lvec;
if(m_avec) delete [] m_avec;
if(m_bvec) delete [] m_bvec;
if(m_lvecvec)
{
for( int d = 0; d < m_depth; d++ ) delete [] m_lvecvec[d];
delete [] m_lvecvec;
}
if(m_avecvec)
{
for( int d = 0; d < m_depth; d++ ) delete [] m_avecvec[d];
delete [] m_avecvec;
}
if(m_bvecvec)
{
for( int d = 0; d < m_depth; d++ ) delete [] m_bvecvec[d];
delete [] m_bvecvec;
}
}
//==============================================================================
/// RGB2XYZ
///
/// sRGB (D65 illuninant assumption) to XYZ conversion
//==============================================================================
void SLIC::RGB2XYZ(
const int& sR,
const int& sG,
const int& sB,
double& X,
double& Y,
double& Z)
{
double R = sR/255.0;
double G = sG/255.0;
double B = sB/255.0;
double r, g, b;
if(R <= 0.04045) r = R/12.92;
else r = pow((R+0.055)/1.055,2.4);
if(G <= 0.04045) g = G/12.92;
else g = pow((G+0.055)/1.055,2.4);
if(B <= 0.04045) b = B/12.92;
else b = pow((B+0.055)/1.055,2.4);
X = r*0.4124564 + g*0.3575761 + b*0.1804375;
Y = r*0.2126729 + g*0.7151522 + b*0.0721750;
Z = r*0.0193339 + g*0.1191920 + b*0.9503041;
}
//===========================================================================
/// RGB2LAB
//===========================================================================
void SLIC::RGB2LAB(const int& sR, const int& sG, const int& sB, double& lval, double& aval, double& bval)
{
//------------------------
// sRGB to XYZ conversion
//------------------------
double X, Y, Z;
RGB2XYZ(sR, sG, sB, X, Y, Z);
//------------------------
// XYZ to LAB conversion
//------------------------
double epsilon = 0.008856; //actual CIE standard
double kappa = 903.3; //actual CIE standard
double Xr = 0.950456; //reference white
double Yr = 1.0; //reference white
double Zr = 1.088754; //reference white
double xr = X/Xr;
double yr = Y/Yr;
double zr = Z/Zr;
double fx, fy, fz;
if(xr > epsilon) fx = pow(xr, 1.0/3.0);
else fx = (kappa*xr + 16.0)/116.0;
if(yr > epsilon) fy = pow(yr, 1.0/3.0);
else fy = (kappa*yr + 16.0)/116.0;
if(zr > epsilon) fz = pow(zr, 1.0/3.0);
else fz = (kappa*zr + 16.0)/116.0;
lval = 116.0*fy-16.0;
aval = 500.0*(fx-fy);
bval = 200.0*(fy-fz);
}
//===========================================================================
/// DoRGBtoLABConversion
///
/// For whole image: overlaoded floating point version
//===========================================================================
void SLIC::DoRGBtoLABConversion(
const unsigned int*& ubuff,
double*& lvec,
double*& avec,
double*& bvec)
{
int sz = m_width*m_height;
lvec = new double[sz];
avec = new double[sz];
bvec = new double[sz];
for( int j = 0; j < sz; j++ )
{
int r = (ubuff[j] >> 16) & 0xFF;
int g = (ubuff[j] >> 8) & 0xFF;
int b = (ubuff[j] ) & 0xFF;
RGB2LAB( r, g, b, lvec[j], avec[j], bvec[j] );
}
}
//===========================================================================
/// DoRGBtoLABConversion
///
/// For whole volume
//===========================================================================
void SLIC::DoRGBtoLABConversion(
unsigned int**& ubuff,
double**& lvec,
double**& avec,
double**& bvec)
{
int sz = m_width*m_height;
for( int d = 0; d < m_depth; d++ )
{
for( int j = 0; j < sz; j++ )
{
int r = (ubuff[d][j] >> 16) & 0xFF;
int g = (ubuff[d][j] >> 8) & 0xFF;
int b = (ubuff[d][j] ) & 0xFF;
RGB2LAB( r, g, b, lvec[d][j], avec[d][j], bvec[d][j] );
}
}
}
//=================================================================================
/// DrawContoursAroundSegments
///
/// Internal contour drawing option exists. One only needs to comment the if
/// statement inside the loop that looks at neighbourhood.
//=================================================================================
void SLIC::DrawContoursAroundSegments(
unsigned int** ubuff_p,
int* labels,
int& width,
int& height,
unsigned int& color )
{
const int dx8[8] = {-1, -1, 0, 1, 1, 1, 0, -1};
const int dy8[8] = { 0, -1, -1, -1, 0, 1, 1, 1};
unsigned int * ubuff = *ubuff_p;
/* int sz = width*height;
vector<bool> istaken(sz, false);
int mainindex(0);
for( int j = 0; j < height; j++ )
{
for( int k = 0; k < width; k++ )
{
int np(0);
for( int i = 0; i < 8; i++ )
{
int x = k + dx8[i];
int y = j + dy8[i];
if( (x >= 0 && x < width) && (y >= 0 && y < height) )
{
int index = y*width + x;
if( false == istaken[index] )//comment this to obtain internal contours
{
if( labels[mainindex] != labels[index] ) np++;
}
}
}
if( np > 1 )//change to 2 or 3 for thinner lines
{
ubuff[mainindex] = color;
istaken[mainindex] = true;
}
mainindex++;
}
}*/
int sz = width*height;
vector<bool> istaken(sz, false);
vector<int> contourx(sz);vector<int> contoury(sz);
int mainindex(0);int cind(0);
for( int j = 0; j < height; j++ )
{
for( int k = 0; k < width; k++ )
{
int np(0);
for( int i = 0; i < 8; i++ )
{
int x = k + dx8[i];
int y = j + dy8[i];
if( (x >= 0 && x < width) && (y >= 0 && y < height) )
{
int index = y*width + x;
//if( false == istaken[index] )//comment this to obtain internal contours
{
if( labels[mainindex] != labels[index] ) np++;
}
}
}
if( np > 1 )
{
contourx[cind] = k;
contoury[cind] = j;
istaken[mainindex] = true;
//img[mainindex] = color;
cind++;
}
mainindex++;
}
}
int numboundpix = cind;//int(contourx.size());
for( int j = 0; j < numboundpix; j++ )
{
int ii = contoury[j]*width + contourx[j];
ubuff[ii] = 0xffffff;
for( int n = 0; n < 8; n++ )
{
int x = contourx[j] + dx8[n];
int y = contoury[j] + dy8[n];
if( (x >= 0 && x < width) && (y >= 0 && y < height) )
{
int ind = y*width + x;
if(!istaken[ind]) ubuff[ind] = 0;
}
}
}
}
//==============================================================================
/// DetectLabEdges
//==============================================================================
void SLIC::DetectLabEdges(
const double* lvec,
const double* avec,
const double* bvec,
const int& width,
const int& height,
vector<double>& edges)
{
int sz = width*height;
edges.resize(sz,0);
for( int j = 1; j < height-1; j++ )
{
for( int k = 1; k < width-1; k++ )
{
int i = j*width+k;
double dx = (lvec[i-1]-lvec[i+1])*(lvec[i-1]-lvec[i+1]) +
(avec[i-1]-avec[i+1])*(avec[i-1]-avec[i+1]) +
(bvec[i-1]-bvec[i+1])*(bvec[i-1]-bvec[i+1]);
double dy = (lvec[i-width]-lvec[i+width])*(lvec[i-width]-lvec[i+width]) +
(avec[i-width]-avec[i+width])*(avec[i-width]-avec[i+width]) +
(bvec[i-width]-bvec[i+width])*(bvec[i-width]-bvec[i+width]);
//edges[i] = fabs(dx) + fabs(dy);
edges[i] = dx*dx + dy*dy;
}
}
}
//===========================================================================
/// PerturbSeeds
//===========================================================================
void SLIC::PerturbSeeds(
vector<double>& kseedsl,
vector<double>& kseedsa,
vector<double>& kseedsb,
vector<double>& kseedsx,
vector<double>& kseedsy,
const vector<double>& edges)
{
const int dx8[8] = {-1, -1, 0, 1, 1, 1, 0, -1};
const int dy8[8] = { 0, -1, -1, -1, 0, 1, 1, 1};
int numseeds = kseedsl.size();
for( int n = 0; n < numseeds; n++ )
{
int ox = kseedsx[n];//original x
int oy = kseedsy[n];//original y
int oind = oy*m_width + ox;
int storeind = oind;
for( int i = 0; i < 8; i++ )
{
int nx = ox+dx8[i];//new x
int ny = oy+dy8[i];//new y
if( nx >= 0 && nx < m_width && ny >= 0 && ny < m_height)
{
int nind = ny*m_width + nx;
if( edges[nind] < edges[storeind])
{
storeind = nind;
}
}
}
if(storeind != oind)
{
kseedsx[n] = storeind%m_width;
kseedsy[n] = storeind/m_width;
kseedsl[n] = m_lvec[storeind];
kseedsa[n] = m_avec[storeind];
kseedsb[n] = m_bvec[storeind];
}
}
}
//===========================================================================
/// GetLABXYSeeds_ForGivenStepSize
///
/// The k seed values are taken as uniform spatial pixel samples.
//===========================================================================
void SLIC::GetLABXYSeeds_ForGivenStepSize(
vector<double>& kseedsl,
vector<double>& kseedsa,
vector<double>& kseedsb,
vector<double>& kseedsx,
vector<double>& kseedsy,
const int& STEP,
const bool& perturbseeds,
const vector<double>& edgemag)
{
const bool hexgrid = false;
int numseeds(0);
int n(0);
//int xstrips = m_width/STEP;
//int ystrips = m_height/STEP;
int xstrips = (0.5+double(m_width)/double(STEP));
int ystrips = (0.5+double(m_height)/double(STEP));
int xerr = m_width - STEP*xstrips;if(xerr < 0){xstrips--;xerr = m_width - STEP*xstrips;}
int yerr = m_height - STEP*ystrips;if(yerr < 0){ystrips--;yerr = m_height- STEP*ystrips;}
double xerrperstrip = double(xerr)/double(xstrips);
double yerrperstrip = double(yerr)/double(ystrips);
int xoff = STEP/2;
int yoff = STEP/2;
//-------------------------
numseeds = xstrips*ystrips;
//-------------------------
kseedsl.resize(numseeds);
kseedsa.resize(numseeds);
kseedsb.resize(numseeds);
kseedsx.resize(numseeds);
kseedsy.resize(numseeds);
for( int y = 0; y < ystrips; y++ )
{
int ye = y*yerrperstrip;
for( int x = 0; x < xstrips; x++ )
{
int xe = x*xerrperstrip;
int seedx = (x*STEP+xoff+xe);
if(hexgrid){ seedx = x*STEP+(xoff<<(y&0x1))+xe; seedx = min(m_width-1,seedx); }//for hex grid sampling
int seedy = (y*STEP+yoff+ye);
int i = seedy*m_width + seedx;
kseedsl[n] = m_lvec[i];
kseedsa[n] = m_avec[i];
kseedsb[n] = m_bvec[i];
kseedsx[n] = seedx;
kseedsy[n] = seedy;
n++;
}
}
if(perturbseeds)
{
PerturbSeeds(kseedsl, kseedsa, kseedsb, kseedsx, kseedsy, edgemag);
}
}
//===========================================================================
/// GetKValues_LABXYZ
///
/// The k seed values are taken as uniform spatial pixel samples.
//===========================================================================
void SLIC::GetKValues_LABXYZ(
vector<double>& kseedsl,
vector<double>& kseedsa,
vector<double>& kseedsb,
vector<double>& kseedsx,
vector<double>& kseedsy,
vector<double>& kseedsz,
const int& STEP)
{
const bool hexgrid = false;
int numseeds(0);
int n(0);
int xstrips = (0.5+double(m_width)/double(STEP));
int ystrips = (0.5+double(m_height)/double(STEP));
int zstrips = (0.5+double(m_depth)/double(STEP));
int xerr = m_width - STEP*xstrips;if(xerr < 0){xstrips--;xerr = m_width - STEP*xstrips;}
int yerr = m_height - STEP*ystrips;if(yerr < 0){ystrips--;yerr = m_height- STEP*ystrips;}
int zerr = m_depth - STEP*zstrips;if(zerr < 0){zstrips--;zerr = m_depth - STEP*zstrips;}
double xerrperstrip = double(xerr)/double(xstrips);
double yerrperstrip = double(yerr)/double(ystrips);
double zerrperstrip = double(zerr)/double(zstrips);
int xoff = STEP/2;
int yoff = STEP/2;
int zoff = STEP/2;
//-------------------------
numseeds = xstrips*ystrips*zstrips;
//-------------------------
kseedsl.resize(numseeds);
kseedsa.resize(numseeds);
kseedsb.resize(numseeds);
kseedsx.resize(numseeds);
kseedsy.resize(numseeds);
kseedsz.resize(numseeds);
for( int z = 0; z < zstrips; z++ )
{
int ze = z*zerrperstrip;
int d = (z*STEP+zoff+ze);
for( int y = 0; y < ystrips; y++ )
{
int ye = y*yerrperstrip;
for( int x = 0; x < xstrips; x++ )
{
int xe = x*xerrperstrip;
int i = (y*STEP+yoff+ye)*m_width + (x*STEP+xoff+xe);
kseedsl[n] = m_lvecvec[d][i];
kseedsa[n] = m_avecvec[d][i];
kseedsb[n] = m_bvecvec[d][i];
kseedsx[n] = (x*STEP+xoff+xe);
kseedsy[n] = (y*STEP+yoff+ye);
kseedsz[n] = d;
n++;
}
}
}
}
//===========================================================================
/// PerformSuperpixelSLIC
///
/// Performs k mean segmentation. It is fast because it looks locally, not
/// over the entire image.
//===========================================================================
void SLIC::PerformSuperpixelSLIC(
vector<double>& kseedsl,
vector<double>& kseedsa,
vector<double>& kseedsb,
vector<double>& kseedsx,
vector<double>& kseedsy,
int*& klabels,
const int& STEP,
const vector<double>& edgemag,
const double& M)
{
int sz = m_width*m_height;
const int numk = kseedsl.size();
//----------------
int offset = STEP;
//if(STEP < 8) offset = STEP*1.5;//to prevent a crash due to a very small step size
//----------------
vector<double> clustersize(numk, 0);
vector<double> inv(numk, 0);//to store 1/clustersize[k] values
vector<double> sigmal(numk, 0);
vector<double> sigmaa(numk, 0);
vector<double> sigmab(numk, 0);
vector<double> sigmax(numk, 0);
vector<double> sigmay(numk, 0);
vector<double> distvec(sz, DBL_MAX);
double invwt = 1.0/((STEP/M)*(STEP/M));
int x1, y1, x2, y2;
double l, a, b;
double dist;
double distxy;
for( int itr = 0; itr < 10; itr++ )
{
distvec.assign(sz, DBL_MAX);
for( int n = 0; n < numk; n++ )
{
y1 = max(0.0, kseedsy[n]-offset);
y2 = min((double)m_height, kseedsy[n]+offset);
x1 = max(0.0, kseedsx[n]-offset);
x2 = min((double)m_width, kseedsx[n]+offset);
for( int y = y1; y < y2; y++ )
{
for( int x = x1; x < x2; x++ )
{
int i = y*m_width + x;
l = m_lvec[i];
a = m_avec[i];
b = m_bvec[i];
dist = (l - kseedsl[n])*(l - kseedsl[n]) +
(a - kseedsa[n])*(a - kseedsa[n]) +
(b - kseedsb[n])*(b - kseedsb[n]);
distxy = (x - kseedsx[n])*(x - kseedsx[n]) +
(y - kseedsy[n])*(y - kseedsy[n]);
//------------------------------------------------------------------------
dist += distxy*invwt;//dist = sqrt(dist) + sqrt(distxy*invwt);//this is more exact
//------------------------------------------------------------------------
if( dist < distvec[i] )
{
distvec[i] = dist;
klabels[i] = n;
}
}
}
}
//-----------------------------------------------------------------
// Recalculate the centroid and store in the seed values
//-----------------------------------------------------------------
//instead of reassigning memory on each iteration, just reset.
sigmal.assign(numk, 0);
sigmaa.assign(numk, 0);
sigmab.assign(numk, 0);
sigmax.assign(numk, 0);
sigmay.assign(numk, 0);
clustersize.assign(numk, 0);
//------------------------------------
//edgesum.assign(numk, 0);
//------------------------------------
{int ind(0);
for( int r = 0; r < m_height; r++ )
{
for( int c = 0; c < m_width; c++ )
{
sigmal[klabels[ind]] += m_lvec[ind];
sigmaa[klabels[ind]] += m_avec[ind];
sigmab[klabels[ind]] += m_bvec[ind];
sigmax[klabels[ind]] += c;
sigmay[klabels[ind]] += r;
//------------------------------------
//edgesum[klabels[ind]] += edgemag[ind];
//------------------------------------
clustersize[klabels[ind]] += 1.0;
ind++;
}
}}
{for( int k = 0; k < numk; k++ )
{
if( clustersize[k] <= 0 ) clustersize[k] = 1;
inv[k] = 1.0/clustersize[k];//computing inverse now to multiply, than divide later
}}
{for( int k = 0; k < numk; k++ )
{
kseedsl[k] = sigmal[k]*inv[k];
kseedsa[k] = sigmaa[k]*inv[k];
kseedsb[k] = sigmab[k]*inv[k];
kseedsx[k] = sigmax[k]*inv[k];
kseedsy[k] = sigmay[k]*inv[k];
//------------------------------------
//edgesum[k] *= inv[k];
//------------------------------------
}}
}
}
//===========================================================================
/// PerformSupervoxelSLIC
///
/// Performs k mean segmentation. It is fast because it searches locally, not
/// over the entire image.
//===========================================================================
void SLIC::PerformSupervoxelSLIC(
vector<double>& kseedsl,
vector<double>& kseedsa,
vector<double>& kseedsb,
vector<double>& kseedsx,
vector<double>& kseedsy,
vector<double>& kseedsz,
int**& klabels,
const int& STEP,
const double& compactness)
{
int sz = m_width*m_height;
const int numk = kseedsl.size();
//int numitr(0);
//----------------
int offset = STEP;
//if(STEP < 8) offset = STEP*1.5;//to prevent a crash due to a very small step size
//----------------
vector<double> clustersize(numk, 0);
vector<double> inv(numk, 0);//to store 1/clustersize[k] values
vector<double> sigmal(numk, 0);
vector<double> sigmaa(numk, 0);
vector<double> sigmab(numk, 0);
vector<double> sigmax(numk, 0);
vector<double> sigmay(numk, 0);
vector<double> sigmaz(numk, 0);
vector< double > initdouble(sz, DBL_MAX);
vector< vector<double> > distvec(m_depth, initdouble);
//vector<double> distvec(sz, DBL_MAX);
double invwt = 1.0/((STEP/compactness)*(STEP/compactness));//compactness = 20.0 is usually good.
int x1, y1, x2, y2, z1, z2;
double l, a, b;
double dist;
double distxyz;
for( int itr = 0; itr < 5; itr++ )
{
distvec.assign(m_depth, initdouble);
for( int n = 0; n < numk; n++ )
{
y1 = max(0.0, kseedsy[n]-offset);
y2 = min((double)m_height, kseedsy[n]+offset);
x1 = max(0.0, kseedsx[n]-offset);
x2 = min((double)m_width, kseedsx[n]+offset);
z1 = max(0.0, kseedsz[n]-offset);
z2 = min((double)m_depth, kseedsz[n]+offset);
for( int z = z1; z < z2; z++ )
{
for( int y = y1; y < y2; y++ )
{
for( int x = x1; x < x2; x++ )
{
int i = y*m_width + x;
l = m_lvecvec[z][i];
a = m_avecvec[z][i];
b = m_bvecvec[z][i];
dist = (l - kseedsl[n])*(l - kseedsl[n]) +
(a - kseedsa[n])*(a - kseedsa[n]) +
(b - kseedsb[n])*(b - kseedsb[n]);
distxyz = (x - kseedsx[n])*(x - kseedsx[n]) +
(y - kseedsy[n])*(y - kseedsy[n]) +
(z - kseedsz[n])*(z - kseedsz[n]);
//------------------------------------------------------------------------
dist += distxyz*invwt;
//------------------------------------------------------------------------
if( dist < distvec[z][i] )
{
distvec[z][i] = dist;
klabels[z][i] = n;
}
}
}
}
}
//-----------------------------------------------------------------
// Recalculate the centroid and store in the seed values
//-----------------------------------------------------------------
//instead of reassigning memory on each iteration, just reset.
sigmal.assign(numk, 0);
sigmaa.assign(numk, 0);
sigmab.assign(numk, 0);
sigmax.assign(numk, 0);
sigmay.assign(numk, 0);
sigmaz.assign(numk, 0);
clustersize.assign(numk, 0);
for( int d = 0; d < m_depth; d++ )
{
int ind(0);
for( int r = 0; r < m_height; r++ )
{
for( int c = 0; c < m_width; c++ )
{
sigmal[klabels[d][ind]] += m_lvecvec[d][ind];
sigmaa[klabels[d][ind]] += m_avecvec[d][ind];
sigmab[klabels[d][ind]] += m_bvecvec[d][ind];
sigmax[klabels[d][ind]] += c;
sigmay[klabels[d][ind]] += r;
sigmaz[klabels[d][ind]] += d;
clustersize[klabels[d][ind]] += 1.0;
ind++;
}
}
}
{for( int k = 0; k < numk; k++ )
{
if( clustersize[k] <= 0 ) clustersize[k] = 1;
inv[k] = 1.0/clustersize[k];//computing inverse now to multiply, than divide later
}}
{for( int k = 0; k < numk; k++ )
{
kseedsl[k] = sigmal[k]*inv[k];
kseedsa[k] = sigmaa[k]*inv[k];
kseedsb[k] = sigmab[k]*inv[k];
kseedsx[k] = sigmax[k]*inv[k];
kseedsy[k] = sigmay[k]*inv[k];
kseedsz[k] = sigmaz[k]*inv[k];
}}
}
}
//===========================================================================
/// SaveSuperpixelLabels
///
/// Save labels in raster scan order.
//===========================================================================
void SLIC::SaveSuperpixelLabels(
const int*& labels,
const int& width,
const int& height,
const string& filename,
const string& path)
{
#ifdef WINDOWS
char fname[256];
char extn[256];
_splitpath(filename.c_str(), NULL, NULL, fname, extn);
string temp = fname;
string finalpath = path + temp + string(".dat");
#else
string nameandextension = filename;
size_t pos = filename.find_last_of("/");
if(pos != string::npos)//if a slash is found, then take the filename with extension
{
nameandextension = filename.substr(pos+1);
}
string newname = nameandextension.replace(nameandextension.rfind(".")+1, 3, "dat");//find the position of the dot and replace the 3 characters following it.
string finalpath = path+newname;
#endif
int sz = width*height;
ofstream outfile;
outfile.open(finalpath.c_str(), ios::binary);
for( int i = 0; i < sz; i++ )
{
outfile.write((const char*)&labels[i], sizeof(int));
}
outfile.close();
}
//===========================================================================
/// SaveSupervoxelLabels
///
/// Save labels in raster scan order.
//===========================================================================
void SLIC::SaveSupervoxelLabels(
const int**& labels,
const int& width,
const int& height,
const int& depth,
const string& filename,
const string& path)
{
#ifdef WINDOWS
char fname[256];
char extn[256];
_splitpath(filename.c_str(), NULL, NULL, fname, extn);
string temp = fname;
string finalpath = path + temp + string(".dat");
#else
string nameandextension = filename;
size_t pos = filename.find_last_of("/");
if(pos != string::npos)//if a slash is found, then take the filename with extension
{
nameandextension = filename.substr(pos+1);
}
string newname = nameandextension.replace(nameandextension.rfind(".")+1, 3, "dat");//find the position of the dot and replace the 3 characters following it.
string finalpath = path+newname;
#endif
int sz = width*height;
ofstream outfile;
outfile.open(finalpath.c_str(), ios::binary);
for( int d = 0; d < depth; d++ )
{
for( int i = 0; i < sz; i++ )
{
outfile.write((const char*)&labels[d][i], sizeof(int));
}
}
outfile.close();
}
//===========================================================================
/// EnforceLabelConnectivity
///
/// 1. finding an adjacent label for each new component at the start
/// 2. if a certain component is too small, assigning the previously found
/// adjacent label to this component, and not incrementing the label.
//===========================================================================
void SLIC::EnforceLabelConnectivity(
const int* labels,//input labels that need to be corrected to remove stray labels
const int width,
const int height,
int*& nlabels,//new labels
int& numlabels,//the number of labels changes in the end if segments are removed
const int& K) //the number of superpixels desired by the user
{
// const int dx8[8] = {-1, -1, 0, 1, 1, 1, 0, -1};
// const int dy8[8] = { 0, -1, -1, -1, 0, 1, 1, 1};
const int dx4[4] = {-1, 0, 1, 0};
const int dy4[4] = { 0, -1, 0, 1};
const int sz = width*height;
const int SUPSZ = sz/K;
//nlabels.resize(sz, -1);
for( int i = 0; i < sz; i++ ) nlabels[i] = -1;
int label(0);
int* xvec = new int[sz];
int* yvec = new int[sz];
int oindex(0);
int adjlabel(0);//adjacent label
for( int j = 0; j < height; j++ )
{
for( int k = 0; k < width; k++ )
{
if( 0 > nlabels[oindex] )
{
nlabels[oindex] = label;
//--------------------
// Start a new segment
//--------------------
xvec[0] = k;
yvec[0] = j;
//-------------------------------------------------------
// Quickly find an adjacent label for use later if needed
//-------------------------------------------------------
{for( int n = 0; n < 4; n++ )
{
int x = xvec[0] + dx4[n];
int y = yvec[0] + dy4[n];
if( (x >= 0 && x < width) && (y >= 0 && y < height) )
{
int nindex = y*width + x;
if(nlabels[nindex] >= 0) adjlabel = nlabels[nindex];
}
}}
int count(1);
for( int c = 0; c < count; c++ )
{
for( int n = 0; n < 4; n++ )
{
int x = xvec[c] + dx4[n];
int y = yvec[c] + dy4[n];
if( (x >= 0 && x < width) && (y >= 0 && y < height) )
{
int nindex = y*width + x;
if( 0 > nlabels[nindex] && labels[oindex] == labels[nindex] )
{
xvec[count] = x;
yvec[count] = y;
nlabels[nindex] = label;
count++;
}
}
}
}
//-------------------------------------------------------
// If segment size is less then a limit, assign an
// adjacent label found before, and decrement label count.
//-------------------------------------------------------
if(count <= SUPSZ >> 2)
{
for( int c = 0; c < count; c++ )
{
int ind = yvec[c]*width+xvec[c];
nlabels[ind] = adjlabel;
}
label--;
}
label++;
}
oindex++;
}
}
numlabels = label;
if(xvec) delete [] xvec;
if(yvec) delete [] yvec;
}
//===========================================================================
/// RelabelStraySupervoxels
//===========================================================================
void SLIC::EnforceSupervoxelLabelConnectivity(
int**& labels,//input - previous labels, output - new labels
const int& width,
const int& height,
const int& depth,
int& numlabels,
const int& STEP)
{
const int dx10[10] = {-1, 0, 1, 0, -1, 1, 1, -1, 0, 0};
const int dy10[10] = { 0, -1, 0, 1, -1, -1, 1, 1, 0, 0};
const int dz10[10] = { 0, 0, 0, 0, 0, 0, 0, 0, -1, 1};
int sz = width*height;
const int SUPSZ = STEP*STEP*STEP;
int adjlabel(0);//adjacent label
int* xvec = new int[SUPSZ*10];//a large enough size
int* yvec = new int[SUPSZ*10];//a large enough size
int* zvec = new int[SUPSZ*10];//a large enough size
//------------------
// memory allocation
//------------------
int** nlabels = new int*[depth];
{for( int d = 0; d < depth; d++ )
{
nlabels[d] = new int[sz];
for( int i = 0; i < sz; i++ ) nlabels[d][i] = -1;
}}
//------------------
// labeling
//------------------
int lab(0);
{for( int d = 0; d < depth; d++ )
{
int i(0);
for( int h = 0; h < height; h++ )
{