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SLIC.cpp
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SLIC.cpp
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// SLIC.cpp: implementation of the SLIC class.
//===========================================================================
// This code implements the saliency method described in:
//
// Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Susstrunk,
// "SLIC Superpixels",
// EPFL Technical Report no. 149300, June 2010.
//===========================================================================
// Copyright (c) 2010 Radhakrishna Achanta [EPFL]. All rights reserved.
//===========================================================================
// Email: [email protected]
//////////////////////////////////////////////////////////////////////
#include <cfloat>
#include <cmath>
#include <iostream>
#include <fstream>
#include <string.h>
#include "SLIC.h"
// For superpixels
const int dx4[4] = {-1, 0, 1, 0};
const int dy4[4] = { 0, -1, 0, 1};
//const int dx8[8] = {-1, -1, 0, 1, 1, 1, 0, -1};
//const int dy8[8] = { 0, -1, -1, -1, 0, 1, 1, 1};
// For supervoxels
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 slicSegmentation( int* labels, const unsigned int* in, int width, int height, int nseg, double spatialConsistency )
{
static SLIC slic;
int actualNseg;
slic.DoSuperpixelSegmentation_ForGivenK(
in,
width,
height,
labels,
actualNseg,
nseg,
spatialConsistency
);
return actualNseg;
}
//////////////////////////////////////////////////////////////////////
// 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(
const 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,
const int* labels,
const int& width,
const int& height,
const 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};
int sz = width*height;
std::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++;
}
}
}
//==============================================================================
/// DetectLabEdges
//==============================================================================
void SLIC::DetectLabEdges(
const double* lvec,
const double* avec,
const double* bvec,
const int& width,
const int& height,
std::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] = (sqrt(dx) + sqrt(dy));
edges[i] = (dx + dy);
}
}
}
//===========================================================================
/// PerturbSeeds
//===========================================================================
void SLIC::PerturbSeeds(
std::vector<double>& kseedsl,
std::vector<double>& kseedsa,
std::vector<double>& kseedsb,
std::vector<double>& kseedsx,
std::vector<double>& kseedsy,
const std::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(
std::vector<double>& kseedsl,
std::vector<double>& kseedsa,
std::vector<double>& kseedsb,
std::vector<double>& kseedsx,
std::vector<double>& kseedsy,
const int& STEP,
const bool& perturbseeds,
const std::vector<double>& edgemag)
{
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;
int 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 i = (y*STEP+yoff+ye)*m_width + (x*STEP+xoff+xe);
kseedsl[n] = m_lvec[i];
kseedsa[n] = m_avec[i];
kseedsb[n] = m_bvec[i];
kseedsx[n] = (x*STEP+xoff+xe);
kseedsy[n] = (y*STEP+yoff+ye);
n++;
}
}
if(perturbseeds)
{
PerturbSeeds(kseedsl, kseedsa, kseedsb, kseedsx, kseedsy, edgemag);
}
}
//===========================================================================
/// GetLABXYSeeds_ForGivenK
///
/// The k seed values are taken as uniform spatial pixel samples.
//===========================================================================
void SLIC::GetLABXYSeeds_ForGivenK(
std::vector<double>& kseedsl,
std::vector<double>& kseedsa,
std::vector<double>& kseedsb,
std::vector<double>& kseedsx,
std::vector<double>& kseedsy,
const int& K,
const bool& perturbseeds,
const std::vector<double>& edgemag)
{
int sz = m_width*m_height;
double step = sqrt(double(sz)/double(K));
int xoff = step/2;
int yoff = step/2;
int n(0);
for( int y = 0; y < m_height; y++ )
{
int Y = y*step + yoff;
if( Y > m_height-1 ) break;
for( int x = 0; x < m_width; x++ )
{
int X = x*step + xoff;
if(X > m_width-1) break;
int i = Y*m_width + X;
//_ASSERT(n < K);
//kseedsl[n] = m_lvec[i];
//kseedsa[n] = m_avec[i];
//kseedsb[n] = m_bvec[i];
//kseedsx[n] = X;
//kseedsy[n] = Y;
kseedsl.push_back(m_lvec[i]);
kseedsa.push_back(m_avec[i]);
kseedsb.push_back(m_bvec[i]);
kseedsx.push_back(X);
kseedsy.push_back(Y);
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(
std::vector<double>& kseedsl,
std::vector<double>& kseedsa,
std::vector<double>& kseedsb,
std::vector<double>& kseedsx,
std::vector<double>& kseedsy,
std::vector<double>& kseedsz,
const int& STEP)
{
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;
int yerr = m_height - STEP*ystrips;
int 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(
std::vector<double>& kseedsl,
std::vector<double>& kseedsa,
std::vector<double>& kseedsb,
std::vector<double>& kseedsx,
std::vector<double>& kseedsy,
int* klabels,
const int& STEP,
const std::vector<double>& edgemag,
const double& M)
{
int sz = m_width*m_height;
const int numk = kseedsl.size();
//----------------
int offset = STEP;
//----------------
std::vector<double> clustersize(numk, 0);
std::vector<double> inv(numk, 0);//to store 1/clustersize[k] values
std::vector<double> sigmal(numk, 0);
std::vector<double> sigmaa(numk, 0);
std::vector<double> sigmab(numk, 0);
std::vector<double> sigmax(numk, 0);
std::vector<double> sigmay(numk, 0);
std::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 = SLIC_MAX(0, kseedsy[n]-offset);
y2 = SLIC_MIN(m_height, kseedsy[n]+offset);
x1 = SLIC_MAX(0, kseedsx[n]-offset);
x2 = SLIC_MIN(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(
std::vector<double>& kseedsl,
std::vector<double>& kseedsa,
std::vector<double>& kseedsb,
std::vector<double>& kseedsx,
std::vector<double>& kseedsy,
std::vector<double>& kseedsz,
int** klabels,
const int& STEP,
const double& m)
{
int sz = m_width*m_height;
const int numk = kseedsl.size();
//----------------
int offset = STEP;
//----------------
std::vector<double> clustersize(numk, 0);
std::vector<double> inv(numk, 0);//to store 1/clustersize[k] values
std::vector<double> sigmal(numk, 0);
std::vector<double> sigmaa(numk, 0);
std::vector<double> sigmab(numk, 0);
std::vector<double> sigmax(numk, 0);
std::vector<double> sigmay(numk, 0);
std::vector<double> sigmaz(numk, 0);
std::vector< double > initdouble(sz, DBL_MAX);
std::vector< std::vector<double> > distvec(m_depth, initdouble);
//vector<double> distvec(sz, DBL_MAX);
double invwt = 1.0/((STEP/m)*(STEP/m));
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 = SLIC_MAX(0, kseedsy[n]-offset);
y2 = SLIC_MIN(m_height, kseedsy[n]+offset);
x1 = SLIC_MAX(0, kseedsx[n]-offset);
x2 = SLIC_MIN(m_width, kseedsx[n]+offset);
z1 = SLIC_MAX(0, kseedsz[n]-offset);
z2 = SLIC_MIN(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;
//_ASSERT( y < m_height && x < m_width && y >= 0 && x >= 0 );
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 += distxy;//not to be used...works best only for 10x10 superpixels
//dist *= (20.0*log10(distxy));//not so cool....very irregular superpixels
//------------------------------------------------------------------------
//dist *= distxy;// very cool![SOLUTION 1]i.e. MULTIPLICATION
//dist = sqrt(dist*distxy);//[same as SOLUTION 1]
//------------------------------------------------------------------------
dist += distxyz*invwt;//quite cool[SOLUTION 2]i.e ADDITION
//dist = sqrt(dist) + sqrt(distxy*invwt);[almost same as SOLUTION 2]
//------------------------------------------------------------------------
//dist += 20.0*log10(distxy);//[SOLUTION 3]...can generate some ugly superpixels,
//but usually decent ones. Too many noisy segments
//RemoveSmallSegments is not used. Probably discard...
//------------------------------------------------------------------------
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 std::string& filename,
const std::string& path)
{
int sz = width*height;
char fname[_MAX_FNAME];
char extn[_MAX_FNAME];
splitpath(filename.c_str(), fname, extn);
std::string temp = fname;
std::ofstream outfile;
std::string finalpath = path + temp + std::string(".dat");
outfile.open(finalpath.c_str(), std::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 std::string& filename,
const std::string& path)
{
int sz = width*height;
char fname[_MAX_FNAME];
char extn[_MAX_FNAME];
splitpath(filename.c_str(), fname, extn);
std::string temp = fname;
std::ofstream outfile;
std::string finalpath = path + temp + std::string(".dat");
outfile.open(finalpath.c_str(), std::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();
}
//===========================================================================
/// FindNext
///
/// Helper function for EnforceLabelConnectivity. Called recursively.
//===========================================================================
void SLIC::FindNext(
const int* labels,
int* nlabels,
const int& height,
const int& width,
const int& h,
const int& w,
const int& lab,
int* xvec,
int* yvec,
int& count)
{
int oldlab = labels[h*width+w];
for( int i = 0; i < 4; i++ )
{
int y = h+dy4[i];int x = w+dx4[i];
if((y < height && y >= 0) && (x < width && x >= 0) )
{
int ind = y*width+x;
if(nlabels[ind] < 0 && labels[ind] == oldlab )
{
xvec[count] = x;
yvec[count] = y;
count++;
nlabels[ind] = lab;
FindNext(labels, nlabels, height, width, y, x, lab, xvec, yvec, count);
}
}
}
}
//===========================================================================
/// EnforceLabelConnectivity
///
/// Some superpixels may be unconnected, Relabel them. Recursive algorithm
/// used here, can crash if stack overflows. This will only happen if the
/// superpixels are very large, otherwise safe.
/// STEPS:
/// 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,
const int& width,
const int& height,
int* nlabels,
int& numlabels,
const int& K)
{
int sz = width*height;
{for( int i = 0; i < sz; i++ ) nlabels[i] = -1;}
const int SUPSZ = sz/K;
//------------------
// labeling
//------------------
int lab(0);
int i(0);
int adjlabel(0);//adjacent label
int* xvec = new int[sz];//worst case size
int* yvec = new int[sz];//worst case size
{for( int h = 0; h < height; h++ )
{
for( int w = 0; w < width; w++ )
{
if(nlabels[i] < 0)
{
nlabels[i] = lab;
//-------------------------------------------------------
// Quickly find an adjacent label for use later if needed
//-------------------------------------------------------
{for( int n = 0; n < 4; n++ )
{
int x = w + dx4[n];
int y = h + dy4[n];
if( (x >= 0 && x < width) && (y >= 0 && y < height) )
{
int nindex = y*width + x;
if(nlabels[nindex] >= 0) adjlabel = nlabels[nindex];
}
}}
xvec[0] = w; yvec[0] = h;
int count(1);
FindNext(labels, nlabels, height, width, h, w, lab, xvec, yvec, 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;
}
lab--;
}
lab++;
}
i++;
}
}}
//------------------
numlabels = lab;
//------------------
if(xvec) delete [] xvec;
if(yvec) delete [] yvec;
}
//===========================================================================
/// FindNext
///
/// Helper function for RelabelStraySupervoxels. Overloaded version.
//===========================================================================
void SLIC::FindNext_supervoxels(
int** labels,
int** nlabels,
const int& depth,
const int& height,
const int& width,
const int& d,