GLCM灰度共生矩阵，纹理特征提取
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//灰度共生矩阵，测试——相关，能量，熵，对比度，逆差矩
#include "stdafx.h"
#include <math.h>
#include "windows.h"
#include <assert.h>
#include "iostream"
#include "highgui.h"
using namespace std;
typedef struct glcmFeature //定义GLCM特征
{
double dCorrelation; //相关
double dEnergy; //能量
double dEntropy; //熵
double dInertiaQuadrature; //惯性矩
double dLocalCalm; //局部平稳
}glcmFeature;
typedef struct glcmFeatureVar
{
double dAveCorrelation;
double dAveEnergy;
double dAveEntropy;
double dAveInertiaQuadrature;
double dAveLocalCalm;
double dVarCorrelation;
double dVarEnergy;
double dVarEntropy;
double dVarInertiaQuadrature;
double dVarLocalCalm;
}glcmFeatureVar;
class ZBGLCM
{
public:
ZBGLCM();
~ZBGLCM();
void ComputeMatrix(BYTE **LocalImage, int LocalImageWidth);
void ComputeFeature(double &FeatureEnergy, double &FeatureEntropy,
double &FeatureInertiaQuadrature, double &FeatureCorrelation,
double &FeatureLocalCalm, int** pMatrix, int dim);
glcmFeature pGLCMF;
glcmFeatureVar pGLCMFVar;
glcmFeature GLCMFeature(BYTE* ImageArray,long ImageWidth,long ImageHeight,int FilterWindowWidth,int dir);
glcmFeatureVar GLCMFeatureVar(BYTE* ImageArray,long ImageWidth,long ImageHeight,int FilterWindowWidth);
public:
double FeatureLocalCalmRD;
double FeatureLocalCalmLD;
double FeatureLocalCalmV;
double FeatureLocalCalmH;
double FeatureCorrelationRD;
double FeatureCorrelationLD;
double FeatureCorrelationV;
double FeatureCorrelationH;
double FeatureInertiaQuadratureRD;
double FeatureInertiaQuadratureLD;
double FeatureInertiaQuadratureV;
double FeatureInertiaQuadratureH;
double FeatureEntropyRD;
double FeatureEntropyLD;
double FeatureEntropyV;
double FeatureEntropyH;
double FeatureEnergyRD;
double FeatureEnergyLD;
double FeatureEnergyV;
double FeatureEnergyH;
int FilterWindowWidth;
int distance;
int GrayLayerNum;
int L;
int** PMatrixRD;
int** PMatrixLD;
int** PMatrixV;
int** PMatrixH;
};
//ZBGLCM.cpp
ZBGLCM::ZBGLCM()
{
PMatrixRD = NULL;
PMatrixLD = NULL;
PMatrixV = NULL;
PMatrixH = NULL;
distance =5;
FilterWindowWidth =16;
GrayLayerNum =8;
L=8;
int i;
PMatrixH =new int*[GrayLayerNum];
PMatrixLD=new int*[GrayLayerNum];
PMatrixRD=new int*[GrayLayerNum];
PMatrixV =new int*[GrayLayerNum];
for(i=0; i<GrayLayerNum; i++)
{
PMatrixH[i] =new int[GrayLayerNum];
PMatrixLD[i]=new int[GrayLayerNum];
PMatrixRD[i]=new int[GrayLayerNum];
PMatrixV[i] =new int[GrayLayerNum];
}
}
ZBGLCM::~ZBGLCM()
{
if(PMatrixH !=NULL)
{
for(int i=0; i<GrayLayerNum; i++)
{
delete [] PMatrixH[i];
PMatrixH[i] = NULL; //已析构了，后不再加
}
delete [] PMatrixH;
PMatrixH = NULL;
}
if(PMatrixLD !=NULL)
{
for(int i=0; i<GrayLayerNum; i++)
{
delete[] PMatrixLD[i];
}
delete [] PMatrixLD;
}
if(PMatrixRD !=NULL)
{
for(int i=0; i<GrayLayerNum; i++)
delete [] PMatrixRD[i];
delete [] PMatrixRD;
}
if(PMatrixV !=NULL)
{
for(int i=0; i<GrayLayerNum; i++)
delete [] PMatrixV[i];
delete [] PMatrixV;
}
}
//计算纹理特征
void ZBGLCM::ComputeFeature(double&FeatureEnergy, double&FeatureEntropy, double&FeatureInertiaQuadrature, double&FeatureCorrelation,
double&FeatureLocalCalm, int** pMatrix, int dim)
{
int i,j;
double **pdMatrix;
pdMatrix =new double*[dim];
for(i=0; i<dim; i++)
pdMatrix[i] =new double[dim];
int total =0;
for(i=0; i<dim; i++)
{
for(j=0; j<dim; j++)
{
total += pMatrix[i][j];
}
}
for(i=0; i<dim; i++)
{
for(j=0; j<dim; j++)
{
pdMatrix[i][j] = (double)pMatrix[i][j]/(double)total;
}
}
FeatureEnergy =0.0;
FeatureEntropy =0.0;
FeatureInertiaQuadrature =0.0;
FeatureLocalCalm =0.0;
//计算能量、熵、惯性矩、局部平稳
for(i=0; i<dim; i++)
{
for(j=0; j<dim; j++)
{
//能量
FeatureEnergy += pdMatrix[i][j]*pdMatrix[i][j];
//熵
if(pdMatrix[i][j]>1e-12)
{
FeatureEntropy -= pdMatrix[i][j]*log(pdMatrix[i][j]);
}
//惯性矩
FeatureInertiaQuadrature += (double)(i-j)*(double)(i-j)*pdMatrix[i][j];
//局部平稳
FeatureLocalCalm += pdMatrix[i][j]/(1+(double)(i-j)*(double)(i-j));
}
}
//计算ux
double ux =0.0;
double localtotal =0.0;
for(i=0; i<dim; i++)
{
localtotal =0.0;
for(j=0; j<dim; j++)
{
localtotal += pdMatrix[i][j];
}
ux += (double)i * localtotal;
}
//计算uy
double uy =0.0;
for(j=0; j<dim; j++)
{
localtotal =0.0;
for(i=0; i<dim; i++)
{
localtotal += pdMatrix[i][j];
}
uy += (double)j * localtotal;
}
// 计算sigmax
double sigmax =0.0;
for(i=0; i<dim; i++)
{
localtotal =0.0;
for(j=0; j<dim; j++)
{
localtotal += pdMatrix[i][j];
}
sigmax += (double)(i-ux) * (double)(i-ux) * localtotal;
}
//计算sigmay
double sigmay =0.0;
for(j=0; j<dim; j++)
{
localtotal =0.0;
for(i=0; i<dim; i++)
{
localtotal += pdMatrix[i][j];
}
sigmay += (double)(j-uy) * (double)(j-uy) * localtotal;
}
//计算相关
FeatureCorrelation =0.0;
for(i=0; i<dim; i++)
{
for(j=0; j<dim; j++)
{
FeatureCorrelation += (double)(i-ux) * (double)(j-uy) * pdMatrix[i][j];
}
}
if(sigmax !=0&& sigmay !=0)
{
FeatureCorrelation /= sigmax;
FeatureCorrelation /= sigmay;
}
else
FeatureCorrelation =8;
if(pdMatrix !=NULL)
{
for(i=0; i<dim; i++)
{
delete [] pdMatrix[i];
pdMatrix[i] = NULL;
}
delete [] pdMatrix;
pdMatrix = NULL;
}
}
//计算共生矩阵
void ZBGLCM::ComputeMatrix(BYTE **LocalImage, int LocalImageWidth)
{
int i,j;
BYTE **NewImage;
NewImage =new BYTE*[LocalImageWidth];
if(NewImage==NULL)
return;
for(i=0; i<LocalImageWidth; i++)
{
NewImage[i] =new BYTE[LocalImageWidth];
if(NewImage[i]==NULL)
return;
}
for(i=0; i<LocalImageWidth; i++)
{
for(j=0; j<LocalImageWidth; j++)
{
NewImage[i][j] = LocalImage[i][j] / (256/GrayLayerNum);
}
}
for(i=0; i<GrayLayerNum; i++)
{
for(j=0; j<GrayLayerNum; j++)
{
PMatrixH[i][j] =0;
PMatrixLD[i][j] =0;
PMatrixRD[i][j] =0;
PMatrixV[i][j] =0;
}
}
for(i=0; i<LocalImageWidth; i++)
{
for(j=0; j<LocalImageWidth-distance; j++)
{
PMatrixH[(unsigned int)NewImage[i][j]][(unsigned int)NewImage[i][j+distance]] +=1;
PMatrixH[(unsigned int)NewImage[i][j+distance]][(unsigned int)NewImage[i][j]] +=1;
}
}
for(i=0; i<LocalImageWidth-distance; i++)
{
for(j=0; j<LocalImageWidth; j++)
{
PMatrixV[(unsigned int)NewImage[i][j]][(unsigned int)NewImage[i+distance][j]] +=1;
PMatrixV[(unsigned int)NewImage[i+distance][j]][(unsigned int)NewImage[i][j]] +=1;
}
}
for(i=0; i<LocalImageWidth-distance; i++)
{
for(j=0; j<LocalImageWidth-distance; j++)
{
int newi, newj;
newi = i+distance;
newj = j+distance;
PMatrixLD[(unsigned int)NewImage[i][j]][(unsigned int)NewImage[newi][newj]] +=1;
PMatrixLD[(unsigned int)NewImage[newi][newj]][(unsigned int)NewImage[i][j]] +=1;
}
}
for(i=distance; i<LocalImageWidth; i++)
{
for(j=0; j<LocalImageWidth-distance; j++)
{
int newi, newj;
newi = i-distance;
newj = j+distance;
PMatrixRD[(unsigned int)NewImage[i][j]][(unsigned int)NewImage[newi][newj]] +=1;
PMatrixRD[(unsigned int)NewImage[newi][newj]][(unsigned int)NewImage[i][j]] +=1;
}
}
if(NewImage !=NULL)
{
for(i=0; i<LocalImageWidth; i++)
{
delete [] NewImage[i];
NewImage[i] = NULL;
}
delete [] NewImage;
NewImage = NULL;
}
}
//计算GLCM特征
glcmFeature ZBGLCM::GLCMFeature(BYTE* ImageArray,long ImageWidth,long ImageHeight,int FilterWindowWidth,int dir)
{
assert(ImageHeight>FilterWindowWidth && ImageWidth > FilterWindowWidth);
double dEnergy =0.0;
double dEntropy =0.0;
double dInertiaQuadrature =0.0;
double dLocalCalm =0.0;
double dCorrelation =0.0;
double dEnergy1 =0.0;
double dEntropy1 =0.0;
double dInertiaQuadrature1=0.0;
double dLocalCalm1 =0.0;
double dCorrelation1 =0.0;
int rolltimeH = ImageHeight/FilterWindowWidth;
int rolltimeW = ImageWidth /FilterWindowWidth;
int i,j;
int p,q;
unsigned char** arLocalImage;
arLocalImage=(unsigned char**)calloc((unsigned)FilterWindowWidth,sizeof(unsigned char*));
for( i=0;i<FilterWindowWidth;i++)
{
arLocalImage[i]=(unsigned char*)calloc((unsigned)FilterWindowWidth,sizeof(unsigned char));
}
for(i=0; i< rolltimeH; i++)
{
for(j=0; j<rolltimeW; j++)
{
for(p=0; p<FilterWindowWidth; p++)
{
for(q=0; q<FilterWindowWidth; q++)
{
arLocalImage[p][q] =*((char*)ImageArray+(ImageHeight-1-(i*FilterWindowWidth+p))*ImageWidth+j*FilterWindowWidth+q);
}
}
ComputeMatrix(arLocalImage, FilterWindowWidth);
switch (dir)
{
case0:
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixH, GrayLayerNum);
break;
case1:
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixRD, GrayLayerNum);
break;
case2:
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixV, GrayLayerNum);
break;
case3:
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixLD, GrayLayerNum);
break;
default:
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixH, GrayLayerNum);
break;
}
dEnergy += dEnergy1;
dEntropy += dEntropy1;
dInertiaQuadrature += dInertiaQuadrature1;
dCorrelation += dCorrelation1;
dLocalCalm += dLocalCalm1;
}
}
dEnergy /= (rolltimeH*rolltimeW);
dEntropy /= (rolltimeH*rolltimeW);
dInertiaQuadrature /= (rolltimeH*rolltimeW);
dCorrelation /= (rolltimeH*rolltimeW);
dLocalCalm /= (rolltimeH*rolltimeW);
pGLCMF.dEnergy = dEnergy ;
pGLCMF.dEntropy = dEntropy;
pGLCMF.dInertiaQuadrature = dInertiaQuadrature;
pGLCMF.dCorrelation = dCorrelation;
pGLCMF.dLocalCalm = dLocalCalm;
for(i=0; i<FilterWindowWidth; i++)
{
free(arLocalImage[i]) ;
arLocalImage[i] = NULL;
}
free(arLocalImage);
arLocalImage = NULL;
return pGLCMF;
}
glcmFeatureVar ZBGLCM::GLCMFeatureVar(BYTE* ImageArray,long ImageWidth,long ImageHeight,int FilterWindowWidth)
{
assert(ImageHeight>FilterWindowWidth && ImageWidth > FilterWindowWidth);
double dEnergy = 0.0;
double dEntropy = 0.0;
double dInertiaQuadrature = 0.0;
double dLocalCalm = 0.0;
double dCorrelation = 0.0;
double dEnergy1 = 0.0;
double dEntropy1 = 0.0;
double dInertiaQuadrature1= 0.0;
double dLocalCalm1 = 0.0;
double dCorrelation1 = 0.0;
double dEnergy2 = 0.0;
double dEntropy2 = 0.0;
double dInertiaQuadrature2= 0.0;
double dLocalCalm2 = 0.0;
double dCorrelation2 = 0.0;
double dEnergy3 = 0.0;
double dEntropy3 = 0.0;
double dInertiaQuadrature3= 0.0;
double dLocalCalm3 = 0.0;
double dCorrelation3 = 0.0;
double dEnergy4 = 0.0;
double dEntropy4 = 0.0;
double dInertiaQuadrature4= 0.0;
double dLocalCalm4 = 0.0;
double dCorrelation4 = 0.0;
double dEnergy11 = 0.0;
double dEntropy11 = 0.0;
double dInertiaQuadrature11= 0.0;
double dLocalCalm11 = 0.0;
double dCorrelation11 = 0.0;
double dEnergy22 = 0.0;
double dEntropy22 = 0.0;
double dInertiaQuadrature22= 0.0;
double dLocalCalm22 = 0.0;
double dCorrelation22 = 0.0;
double dEnergy33 = 0.0;
double dEntropy33 = 0.0;
double dInertiaQuadrature33= 0.0;
double dLocalCalm33 = 0.0;
double dCorrelation33 = 0.0;
double dEnergy44 = 0.0;
double dEntropy44 = 0.0;
double dInertiaQuadrature44= 0.0;
double dLocalCalm44 = 0.0;
double dCorrelation44 = 0.0;
int rolltimeH = ImageHeight/FilterWindowWidth;
int rolltimeW = ImageWidth /FilterWindowWidth;
int i,j;
int p,q;
unsigned char** arLocalImage;
arLocalImage=(unsigned char **)calloc((unsigned)FilterWindowWidth,sizeof(unsigned char*));
for( i=0;i<FilterWindowWidth;i++)
{
arLocalImage[i]=(unsigned char *)calloc((unsigned)FilterWindowWidth,sizeof(unsigned char));
}
for(i=0; i< rolltimeH; i++)
{
for(j=0; j<rolltimeW; j++)
{
for(p=0; p<FilterWindowWidth; p++)
{
for(q=0; q<FilterWindowWidth; q++)
{
arLocalImage[p][q] =*((char*)ImageArray+(ImageHeight-1-(i*FilterWindowWidth+p))*ImageWidth+j*FilterWindowWidth+q);
}
}
ComputeMatrix(arLocalImage, FilterWindowWidth);
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixH, GrayLayerNum);
dEnergy += dEnergy1;
dEntropy += dEntropy1;
dInertiaQuadrature += dInertiaQuadrature1;
dCorrelation += dCorrelation1;
dLocalCalm += dLocalCalm1;
dEnergy11 += dEnergy1;
dEntropy11 += dEntropy1;
dInertiaQuadrature11 += dInertiaQuadrature1;
dCorrelation11 += dCorrelation1;
dLocalCalm11 += dLocalCalm1;
ComputeMatrix(arLocalImage, FilterWindowWidth);
ComputeFeature(dEnergy2, dEntropy2, dInertiaQuadrature2, dCorrelation2, dLocalCalm2, PMatrixRD, GrayLayerNum);
dEnergy += dEnergy2;
dEntropy += dEntropy2;
dInertiaQuadrature += dInertiaQuadrature2;
dCorrelation += dCorrelation2;
dLocalCalm += dLocalCalm2;
dEnergy22 += dEnergy2;
dEntropy22 += dEntropy2;
dInertiaQuadrature22 += dInertiaQuadrature2;
dCorrelation22 += dCorrelation2;
dLocalCalm22 += dLocalCalm2;
ComputeMatrix(arLocalImage, FilterWindowWidth);
ComputeFeature(dEnergy3, dEntropy3, dInertiaQuadrature3, dCorrelation3, dLocalCalm3, PMatrixV, GrayLayerNum);
dEnergy += dEnergy3;
dEntropy += dEntropy3;
dInertiaQuadrature += dInertiaQuadrature3;
dCorrelation += dCorrelation3;
dLocalCalm += dLocalCalm3;
dEnergy33 += dEnergy3;
dEntropy33 += dEntropy3;
dInertiaQuadrature33 += dInertiaQuadrature3;
dCorrelation33 += dCorrelation3;
dLocalCalm33 += dLocalCalm3;
ComputeMatrix(arLocalImage, FilterWindowWidth);
ComputeFeature(dEnergy4, dEntropy4, dInertiaQuadrature4, dCorrelation4, dLocalCalm4, PMatrixLD, GrayLayerNum);
dEnergy += dEnergy4;
dEntropy += dEntropy4;
dInertiaQuadrature += dInertiaQuadrature4;
dCorrelation += dCorrelation4;
dLocalCalm += dLocalCalm4;
dEnergy44 += dEnergy4;
dEntropy44 += dEntropy4;
dInertiaQuadrature44 += dInertiaQuadrature4;
dCorrelation44 += dCorrelation4;
dLocalCalm44 += dLocalCalm4;
}
}
dEnergy /= (rolltimeH*rolltimeW);
dEntropy /= (rolltimeH*rolltimeW);
dInertiaQuadrature /= (rolltimeH*rolltimeW);
dCorrelation /= (rolltimeH*rolltimeW);
dLocalCalm /= (rolltimeH*rolltimeW);
dEnergy11 /= (rolltimeH*rolltimeW);
dEntropy11 /= (rolltimeH*rolltimeW);
dInertiaQuadrature11 /= (rolltimeH*rolltimeW);
dCorrelation11 /= (rolltimeH*rolltimeW);
dLocalCalm11 /= (rolltimeH*rolltimeW);
dEnergy22 /= (rolltimeH*rolltimeW);
dEntropy22 /= (rolltimeH*rolltimeW);
dInertiaQuadrature22 /= (rolltimeH*rolltimeW);
dCorrelation22 /= (rolltimeH*rolltimeW);
dLocalCalm22 /= (rolltimeH*rolltimeW);
dEnergy33 /= (rolltimeH*rolltimeW);
dEntropy33 /= (rolltimeH*rolltimeW);
dInertiaQuadrature33 /= (rolltimeH*rolltimeW);
dCorrelation33 /= (rolltimeH*rolltimeW);
dLocalCalm33 /= (rolltimeH*rolltimeW);
dEnergy44 /= (rolltimeH*rolltimeW);
dEntropy44 /= (rolltimeH*rolltimeW);
dInertiaQuadrature44 /= (rolltimeH*rolltimeW);
dCorrelation44 /= (rolltimeH*rolltimeW);
dLocalCalm44 /= (rolltimeH*rolltimeW);
pGLCMFVar.dAveEnergy = dEnergy/4 ;
pGLCMFVar.dAveEntropy = dEntropy/4;
pGLCMFVar.dAveInertiaQuadrature = dInertiaQuadrature/4;
pGLCMFVar.dAveCorrelation = dCorrelation/4;
pGLCMFVar.dAveLocalCalm = dLocalCalm/4;
pGLCMFVar.dVarEnergy=((dEnergy11-pGLCMFVar.dAveEnergy)*(dEnergy11-pGLCMFVar.dAveEnergy)
+(dEnergy22-pGLCMFVar.dAveEnergy)*(dEnergy22-pGLCMFVar.dAveEnergy)
+(dEnergy33-pGLCMFVar.dAveEnergy)*(dEnergy33-pGLCMFVar.dAveEnergy)
+(dEnergy44-pGLCMFVar.dAveEnergy)*(dEnergy44-pGLCMFVar.dAveEnergy))/4;
pGLCMFVar.dVarEntropy=((dEntropy11-pGLCMFVar.dAveEntropy)*(dEntropy11-pGLCMFVar.dAveEntropy)
+(dEntropy22-pGLCMFVar.dAveEntropy)*(dEntropy22-pGLCMFVar.dAveEntropy)
+(dEntropy33-pGLCMFVar.dAveEntropy)*(dEntropy33-pGLCMFVar.dAveEntropy)
+(dEntropy44-pGLCMFVar.dAveEntropy)*(dEntropy44-pGLCMFVar.dAveEntropy))/4;
pGLCMFVar.dVarInertiaQuadrature=((dInertiaQuadrature11-pGLCMFVar.dAveInertiaQuadrature)*(dInertiaQuadrature11-pGLCMFVar.dAveInertiaQuadrature)
+(dInertiaQuadrature22-pGLCMFVar.dAveInertiaQuadrature)*(dInertiaQuadrature22-pGLCMFVar.dAveInertiaQuadrature)
+(dInertiaQuadrature33-pGLCMFVar.dAveInertiaQuadrature)*(dInertiaQuadrature33-pGLCMFVar.dAveInertiaQuadrature)
+(dInertiaQuadrature44-pGLCMFVar.dAveInertiaQuadrature)*(dInertiaQuadrature44-pGLCMFVar.dAveInertiaQuadrature))/4;
pGLCMFVar.dVarCorrelation=((dCorrelation11-pGLCMFVar.dAveCorrelation)*(dCorrelation11-pGLCMFVar.dAveCorrelation)
+(dCorrelation22-pGLCMFVar.dAveCorrelation)*(dCorrelation22-pGLCMFVar.dAveCorrelation)
+(dCorrelation33-pGLCMFVar.dAveCorrelation)*(dCorrelation33-pGLCMFVar.dAveCorrelation)
+(dCorrelation44-pGLCMFVar.dAveCorrelation)*(dCorrelation44-pGLCMFVar.dAveCorrelation))/4;
pGLCMFVar.dVarLocalCalm=((dLocalCalm11-pGLCMFVar.dAveLocalCalm)*(dLocalCalm11-pGLCMFVar.dAveLocalCalm)
+(dLocalCalm22-pGLCMFVar.dAveLocalCalm)*(dLocalCalm22-pGLCMFVar.dAveLocalCalm)
+(dLocalCalm33-pGLCMFVar.dAveLocalCalm)*(dLocalCalm33-pGLCMFVar.dAveLocalCalm)
+(dLocalCalm44-pGLCMFVar.dAveLocalCalm)*(dLocalCalm44-pGLCMFVar.dAveLocalCalm))/4;
for(i=0; i<FilterWindowWidth; i++)
{
free(arLocalImage[i]) ;
arLocalImage[i] = NULL;
}
free(arLocalImage);
arLocalImage = NULL;
return pGLCMFVar;
}
//测试文件
#include "iostream"
using namespace std;
#include "cv.h"
#include "highgui.h"
const char* filename = "C:\\Users\\Administrator\\Desktop\\1.png";
int main()
{
IplImage* dst = cvLoadImage(filename,0);
if (dst)
{
assert("读入图像错误！");
}
int selSize = 16;
int selAngle = 0;
ZBGLCM glcm;
double Sa[5] = {0};
Sa[0] = glcm.GLCMFeature(((uchar *)dst->imageData),dst->width,dst->height,selSize,selAngle).dCorrelation;
Sa[1] = glcm.GLCMFeature(((uchar *)dst->imageData),dst->width,dst->height,selSize,selAngle).dEnergy;
Sa[2] = glcm.GLCMFeature(((uchar *)dst->imageData),dst->width,dst->height,selSize,selAngle).dEntropy;
Sa[3] = glcm.GLCMFeature(((uchar *)dst->imageData),dst->width,dst->height,selSize,selAngle).dInertiaQuadrature;
Sa[4] = glcm.GLCMFeature(((uchar *)dst->imageData),dst->width,dst->height,selSize,selAngle).dLocalCalm;
cout<<"相关："<<Sa[0]<<endl<<"能量："<<Sa[1]<<endl<<"熵："<<Sa[2]<<endl<<"对比度："<<Sa[3]<<endl<<"逆差距："<<Sa[4]<<endl;
return 0;
#include "stdafx.h"
#include <math.h>
#include "windows.h"
#include <assert.h>
#include "iostream"
#include "highgui.h"
using namespace std;
typedef struct glcmFeature //定义GLCM特征
{
double dCorrelation; //相关
double dEnergy; //能量
double dEntropy; //熵
double dInertiaQuadrature; //惯性矩
double dLocalCalm; //局部平稳
}glcmFeature;
typedef struct glcmFeatureVar
{
double dAveCorrelation;
double dAveEnergy;
double dAveEntropy;
double dAveInertiaQuadrature;
double dAveLocalCalm;
double dVarCorrelation;
double dVarEnergy;
double dVarEntropy;
double dVarInertiaQuadrature;
double dVarLocalCalm;
}glcmFeatureVar;
class ZBGLCM
{
public:
ZBGLCM();
~ZBGLCM();
void ComputeMatrix(BYTE **LocalImage, int LocalImageWidth);
void ComputeFeature(double &FeatureEnergy, double &FeatureEntropy,
double &FeatureInertiaQuadrature, double &FeatureCorrelation,
double &FeatureLocalCalm, int** pMatrix, int dim);
glcmFeature pGLCMF;
glcmFeatureVar pGLCMFVar;
glcmFeature GLCMFeature(BYTE* ImageArray,long ImageWidth,long ImageHeight,int FilterWindowWidth,int dir);
glcmFeatureVar GLCMFeatureVar(BYTE* ImageArray,long ImageWidth,long ImageHeight,int FilterWindowWidth);
public:
double FeatureLocalCalmRD;
double FeatureLocalCalmLD;
double FeatureLocalCalmV;
double FeatureLocalCalmH;
double FeatureCorrelationRD;
double FeatureCorrelationLD;
double FeatureCorrelationV;
double FeatureCorrelationH;
double FeatureInertiaQuadratureRD;
double FeatureInertiaQuadratureLD;
double FeatureInertiaQuadratureV;
double FeatureInertiaQuadratureH;
double FeatureEntropyRD;
double FeatureEntropyLD;
double FeatureEntropyV;
double FeatureEntropyH;
double FeatureEnergyRD;
double FeatureEnergyLD;
double FeatureEnergyV;
double FeatureEnergyH;
int FilterWindowWidth;
int distance;
int GrayLayerNum;
int L;
int** PMatrixRD;
int** PMatrixLD;
int** PMatrixV;
int** PMatrixH;
};
//ZBGLCM.cpp
ZBGLCM::ZBGLCM()
{
PMatrixRD = NULL;
PMatrixLD = NULL;
PMatrixV = NULL;
PMatrixH = NULL;
distance =5;
FilterWindowWidth =16;
GrayLayerNum =8;
L=8;
int i;
PMatrixH =new int*[GrayLayerNum];
PMatrixLD=new int*[GrayLayerNum];
PMatrixRD=new int*[GrayLayerNum];
PMatrixV =new int*[GrayLayerNum];
for(i=0; i<GrayLayerNum; i++)
{
PMatrixH[i] =new int[GrayLayerNum];
PMatrixLD[i]=new int[GrayLayerNum];
PMatrixRD[i]=new int[GrayLayerNum];
PMatrixV[i] =new int[GrayLayerNum];
}
}
ZBGLCM::~ZBGLCM()
{
if(PMatrixH !=NULL)
{
for(int i=0; i<GrayLayerNum; i++)
{
delete [] PMatrixH[i];
PMatrixH[i] = NULL; //已析构了，后不再加
}
delete [] PMatrixH;
PMatrixH = NULL;
}
if(PMatrixLD !=NULL)
{
for(int i=0; i<GrayLayerNum; i++)
{
delete[] PMatrixLD[i];
}
delete [] PMatrixLD;
}
if(PMatrixRD !=NULL)
{
for(int i=0; i<GrayLayerNum; i++)
delete [] PMatrixRD[i];
delete [] PMatrixRD;
}
if(PMatrixV !=NULL)
{
for(int i=0; i<GrayLayerNum; i++)
delete [] PMatrixV[i];
delete [] PMatrixV;
}
}
//计算纹理特征
void ZBGLCM::ComputeFeature(double&FeatureEnergy, double&FeatureEntropy, double&FeatureInertiaQuadrature, double&FeatureCorrelation,
double&FeatureLocalCalm, int** pMatrix, int dim)
{
int i,j;
double **pdMatrix;
pdMatrix =new double*[dim];
for(i=0; i<dim; i++)
pdMatrix[i] =new double[dim];
int total =0;
for(i=0; i<dim; i++)
{
for(j=0; j<dim; j++)
{
total += pMatrix[i][j];
}
}
for(i=0; i<dim; i++)
{
for(j=0; j<dim; j++)
{
pdMatrix[i][j] = (double)pMatrix[i][j]/(double)total;
}
}
FeatureEnergy =0.0;
FeatureEntropy =0.0;
FeatureInertiaQuadrature =0.0;
FeatureLocalCalm =0.0;
//计算能量、熵、惯性矩、局部平稳
for(i=0; i<dim; i++)
{
for(j=0; j<dim; j++)
{
//能量
FeatureEnergy += pdMatrix[i][j]*pdMatrix[i][j];
//熵
if(pdMatrix[i][j]>1e-12)
{
FeatureEntropy -= pdMatrix[i][j]*log(pdMatrix[i][j]);
}
//惯性矩
FeatureInertiaQuadrature += (double)(i-j)*(double)(i-j)*pdMatrix[i][j];
//局部平稳
FeatureLocalCalm += pdMatrix[i][j]/(1+(double)(i-j)*(double)(i-j));
}
}
//计算ux
double ux =0.0;
double localtotal =0.0;
for(i=0; i<dim; i++)
{
localtotal =0.0;
for(j=0; j<dim; j++)
{
localtotal += pdMatrix[i][j];
}
ux += (double)i * localtotal;
}
//计算uy
double uy =0.0;
for(j=0; j<dim; j++)
{
localtotal =0.0;
for(i=0; i<dim; i++)
{
localtotal += pdMatrix[i][j];
}
uy += (double)j * localtotal;
}
// 计算sigmax
double sigmax =0.0;
for(i=0; i<dim; i++)
{
localtotal =0.0;
for(j=0; j<dim; j++)
{
localtotal += pdMatrix[i][j];
}
sigmax += (double)(i-ux) * (double)(i-ux) * localtotal;
}
//计算sigmay
double sigmay =0.0;
for(j=0; j<dim; j++)
{
localtotal =0.0;
for(i=0; i<dim; i++)
{
localtotal += pdMatrix[i][j];
}
sigmay += (double)(j-uy) * (double)(j-uy) * localtotal;
}
//计算相关
FeatureCorrelation =0.0;
for(i=0; i<dim; i++)
{
for(j=0; j<dim; j++)
{
FeatureCorrelation += (double)(i-ux) * (double)(j-uy) * pdMatrix[i][j];
}
}
if(sigmax !=0&& sigmay !=0)
{
FeatureCorrelation /= sigmax;
FeatureCorrelation /= sigmay;
}
else
FeatureCorrelation =8;
if(pdMatrix !=NULL)
{
for(i=0; i<dim; i++)
{
delete [] pdMatrix[i];
pdMatrix[i] = NULL;
}
delete [] pdMatrix;
pdMatrix = NULL;
}
}
//计算共生矩阵
void ZBGLCM::ComputeMatrix(BYTE **LocalImage, int LocalImageWidth)
{
int i,j;
BYTE **NewImage;
NewImage =new BYTE*[LocalImageWidth];
if(NewImage==NULL)
return;
for(i=0; i<LocalImageWidth; i++)
{
NewImage[i] =new BYTE[LocalImageWidth];
if(NewImage[i]==NULL)
return;
}
for(i=0; i<LocalImageWidth; i++)
{
for(j=0; j<LocalImageWidth; j++)
{
NewImage[i][j] = LocalImage[i][j] / (256/GrayLayerNum);
}
}
for(i=0; i<GrayLayerNum; i++)
{
for(j=0; j<GrayLayerNum; j++)
{
PMatrixH[i][j] =0;
PMatrixLD[i][j] =0;
PMatrixRD[i][j] =0;
PMatrixV[i][j] =0;
}
}
for(i=0; i<LocalImageWidth; i++)
{
for(j=0; j<LocalImageWidth-distance; j++)
{
PMatrixH[(unsigned int)NewImage[i][j]][(unsigned int)NewImage[i][j+distance]] +=1;
PMatrixH[(unsigned int)NewImage[i][j+distance]][(unsigned int)NewImage[i][j]] +=1;
}
}
for(i=0; i<LocalImageWidth-distance; i++)
{
for(j=0; j<LocalImageWidth; j++)
{
PMatrixV[(unsigned int)NewImage[i][j]][(unsigned int)NewImage[i+distance][j]] +=1;
PMatrixV[(unsigned int)NewImage[i+distance][j]][(unsigned int)NewImage[i][j]] +=1;
}
}
for(i=0; i<LocalImageWidth-distance; i++)
{
for(j=0; j<LocalImageWidth-distance; j++)
{
int newi, newj;
newi = i+distance;
newj = j+distance;
PMatrixLD[(unsigned int)NewImage[i][j]][(unsigned int)NewImage[newi][newj]] +=1;
PMatrixLD[(unsigned int)NewImage[newi][newj]][(unsigned int)NewImage[i][j]] +=1;
}
}
for(i=distance; i<LocalImageWidth; i++)
{
for(j=0; j<LocalImageWidth-distance; j++)
{
int newi, newj;
newi = i-distance;
newj = j+distance;
PMatrixRD[(unsigned int)NewImage[i][j]][(unsigned int)NewImage[newi][newj]] +=1;
PMatrixRD[(unsigned int)NewImage[newi][newj]][(unsigned int)NewImage[i][j]] +=1;
}
}
if(NewImage !=NULL)
{
for(i=0; i<LocalImageWidth; i++)
{
delete [] NewImage[i];
NewImage[i] = NULL;
}
delete [] NewImage;
NewImage = NULL;
}
}
//计算GLCM特征
glcmFeature ZBGLCM::GLCMFeature(BYTE* ImageArray,long ImageWidth,long ImageHeight,int FilterWindowWidth,int dir)
{
assert(ImageHeight>FilterWindowWidth && ImageWidth > FilterWindowWidth);
double dEnergy =0.0;
double dEntropy =0.0;
double dInertiaQuadrature =0.0;
double dLocalCalm =0.0;
double dCorrelation =0.0;
double dEnergy1 =0.0;
double dEntropy1 =0.0;
double dInertiaQuadrature1=0.0;
double dLocalCalm1 =0.0;
double dCorrelation1 =0.0;
int rolltimeH = ImageHeight/FilterWindowWidth;
int rolltimeW = ImageWidth /FilterWindowWidth;
int i,j;
int p,q;
unsigned char** arLocalImage;
arLocalImage=(unsigned char**)calloc((unsigned)FilterWindowWidth,sizeof(unsigned char*));
for( i=0;i<FilterWindowWidth;i++)
{
arLocalImage[i]=(unsigned char*)calloc((unsigned)FilterWindowWidth,sizeof(unsigned char));
}
for(i=0; i< rolltimeH; i++)
{
for(j=0; j<rolltimeW; j++)
{
for(p=0; p<FilterWindowWidth; p++)
{
for(q=0; q<FilterWindowWidth; q++)
{
arLocalImage[p][q] =*((char*)ImageArray+(ImageHeight-1-(i*FilterWindowWidth+p))*ImageWidth+j*FilterWindowWidth+q);
}
}
ComputeMatrix(arLocalImage, FilterWindowWidth);
switch (dir)
{
case0:
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixH, GrayLayerNum);
break;
case1:
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixRD, GrayLayerNum);
break;
case2:
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixV, GrayLayerNum);
break;
case3:
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixLD, GrayLayerNum);
break;
default:
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixH, GrayLayerNum);
break;
}
dEnergy += dEnergy1;
dEntropy += dEntropy1;
dInertiaQuadrature += dInertiaQuadrature1;
dCorrelation += dCorrelation1;
dLocalCalm += dLocalCalm1;
}
}
dEnergy /= (rolltimeH*rolltimeW);
dEntropy /= (rolltimeH*rolltimeW);
dInertiaQuadrature /= (rolltimeH*rolltimeW);
dCorrelation /= (rolltimeH*rolltimeW);
dLocalCalm /= (rolltimeH*rolltimeW);
pGLCMF.dEnergy = dEnergy ;
pGLCMF.dEntropy = dEntropy;
pGLCMF.dInertiaQuadrature = dInertiaQuadrature;
pGLCMF.dCorrelation = dCorrelation;
pGLCMF.dLocalCalm = dLocalCalm;
for(i=0; i<FilterWindowWidth; i++)
{
free(arLocalImage[i]) ;
arLocalImage[i] = NULL;
}
free(arLocalImage);
arLocalImage = NULL;
return pGLCMF;
}
glcmFeatureVar ZBGLCM::GLCMFeatureVar(BYTE* ImageArray,long ImageWidth,long ImageHeight,int FilterWindowWidth)
{
assert(ImageHeight>FilterWindowWidth && ImageWidth > FilterWindowWidth);
double dEnergy = 0.0;
double dEntropy = 0.0;
double dInertiaQuadrature = 0.0;
double dLocalCalm = 0.0;
double dCorrelation = 0.0;
double dEnergy1 = 0.0;
double dEntropy1 = 0.0;
double dInertiaQuadrature1= 0.0;
double dLocalCalm1 = 0.0;
double dCorrelation1 = 0.0;
double dEnergy2 = 0.0;
double dEntropy2 = 0.0;
double dInertiaQuadrature2= 0.0;
double dLocalCalm2 = 0.0;
double dCorrelation2 = 0.0;
double dEnergy3 = 0.0;
double dEntropy3 = 0.0;
double dInertiaQuadrature3= 0.0;
double dLocalCalm3 = 0.0;
double dCorrelation3 = 0.0;
double dEnergy4 = 0.0;
double dEntropy4 = 0.0;
double dInertiaQuadrature4= 0.0;
double dLocalCalm4 = 0.0;
double dCorrelation4 = 0.0;
double dEnergy11 = 0.0;
double dEntropy11 = 0.0;
double dInertiaQuadrature11= 0.0;
double dLocalCalm11 = 0.0;
double dCorrelation11 = 0.0;
double dEnergy22 = 0.0;
double dEntropy22 = 0.0;
double dInertiaQuadrature22= 0.0;
double dLocalCalm22 = 0.0;
double dCorrelation22 = 0.0;
double dEnergy33 = 0.0;
double dEntropy33 = 0.0;
double dInertiaQuadrature33= 0.0;
double dLocalCalm33 = 0.0;
double dCorrelation33 = 0.0;
double dEnergy44 = 0.0;
double dEntropy44 = 0.0;
double dInertiaQuadrature44= 0.0;
double dLocalCalm44 = 0.0;
double dCorrelation44 = 0.0;
int rolltimeH = ImageHeight/FilterWindowWidth;
int rolltimeW = ImageWidth /FilterWindowWidth;
int i,j;
int p,q;
unsigned char** arLocalImage;
arLocalImage=(unsigned char **)calloc((unsigned)FilterWindowWidth,sizeof(unsigned char*));
for( i=0;i<FilterWindowWidth;i++)
{
arLocalImage[i]=(unsigned char *)calloc((unsigned)FilterWindowWidth,sizeof(unsigned char));
}
for(i=0; i< rolltimeH; i++)
{
for(j=0; j<rolltimeW; j++)
{
for(p=0; p<FilterWindowWidth; p++)
{
for(q=0; q<FilterWindowWidth; q++)
{
arLocalImage[p][q] =*((char*)ImageArray+(ImageHeight-1-(i*FilterWindowWidth+p))*ImageWidth+j*FilterWindowWidth+q);
}
}
ComputeMatrix(arLocalImage, FilterWindowWidth);
ComputeFeature(dEnergy1, dEntropy1, dInertiaQuadrature1, dCorrelation1, dLocalCalm1, PMatrixH, GrayLayerNum);
dEnergy += dEnergy1;
dEntropy += dEntropy1;
dInertiaQuadrature += dInertiaQuadrature1;
dCorrelation += dCorrelation1;
dLocalCalm += dLocalCalm1;
dEnergy11 += dEnergy1;
dEntropy11 += dEntropy1;
dInertiaQuadrature11 += dInertiaQuadrature1;
dCorrelation11 += dCorrelation1;
dLocalCalm11 += dLocalCalm1;
ComputeMatrix(arLocalImage, FilterWindowWidth);
ComputeFeature(dEnergy2, dEntropy2, dInertiaQuadrature2, dCorrelation2, dLocalCalm2, PMatrixRD, GrayLayerNum);
dEnergy += dEnergy2;
dEntropy += dEntropy2;
dInertiaQuadrature += dInertiaQuadrature2;
dCorrelation += dCorrelation2;
dLocalCalm += dLocalCalm2;
dEnergy22 += dEnergy2;
dEntropy22 += dEntropy2;
dInertiaQuadrature22 += dInertiaQuadrature2;
dCorrelation22 += dCorrelation2;
dLocalCalm22 += dLocalCalm2;
ComputeMatrix(arLocalImage, FilterWindowWidth);
ComputeFeature(dEnergy3, dEntropy3, dInertiaQuadrature3, dCorrelation3, dLocalCalm3, PMatrixV, GrayLayerNum);
dEnergy += dEnergy3;
dEntropy += dEntropy3;
dInertiaQuadrature += dInertiaQuadrature3;
dCorrelation += dCorrelation3;
dLocalCalm += dLocalCalm3;
dEnergy33 += dEnergy3;
dEntropy33 += dEntropy3;
dInertiaQuadrature33 += dInertiaQuadrature3;
dCorrelation33 += dCorrelation3;
dLocalCalm33 += dLocalCalm3;
ComputeMatrix(arLocalImage, FilterWindowWidth);
ComputeFeature(dEnergy4, dEntropy4, dInertiaQuadrature4, dCorrelation4, dLocalCalm4, PMatrixLD, GrayLayerNum);
dEnergy += dEnergy4;
dEntropy += dEntropy4;
dInertiaQuadrature += dInertiaQuadrature4;
dCorrelation += dCorrelation4;
dLocalCalm += dLocalCalm4;
dEnergy44 += dEnergy4;
dEntropy44 += dEntropy4;
dInertiaQuadrature44 += dInertiaQuadrature4;
dCorrelation44 += dCorrelation4;
dLocalCalm44 += dLocalCalm4;
}
}
dEnergy /= (rolltimeH*rolltimeW);
dEntropy /= (rolltimeH*rolltimeW);
dInertiaQuadrature /= (rolltimeH*rolltimeW);
dCorrelation /= (rolltimeH*rolltimeW);
dLocalCalm /= (rolltimeH*rolltimeW);
dEnergy11 /= (rolltimeH*rolltimeW);
dEntropy11 /= (rolltimeH*rolltimeW);
dInertiaQuadrature11 /= (rolltimeH*rolltimeW);
dCorrelation11 /= (rolltimeH*rolltimeW);
dLocalCalm11 /= (rolltimeH*rolltimeW);
dEnergy22 /= (rolltimeH*rolltimeW);
dEntropy22 /= (rolltimeH*rolltimeW);
dInertiaQuadrature22 /= (rolltimeH*rolltimeW);
dCorrelation22 /= (rolltimeH*rolltimeW);
dLocalCalm22 /= (rolltimeH*rolltimeW);
dEnergy33 /= (rolltimeH*rolltimeW);
dEntropy33 /= (rolltimeH*rolltimeW);
dInertiaQuadrature33 /= (rolltimeH*rolltimeW);
dCorrelation33 /= (rolltimeH*rolltimeW);
dLocalCalm33 /= (rolltimeH*rolltimeW);
dEnergy44 /= (rolltimeH*rolltimeW);
dEntropy44 /= (rolltimeH*rolltimeW);
dInertiaQuadrature44 /= (rolltimeH*rolltimeW);
dCorrelation44 /= (rolltimeH*rolltimeW);
dLocalCalm44 /= (rolltimeH*rolltimeW);
pGLCMFVar.dAveEnergy = dEnergy/4 ;
pGLCMFVar.dAveEntropy = dEntropy/4;
pGLCMFVar.dAveInertiaQuadrature = dInertiaQuadrature/4;
pGLCMFVar.dAveCorrelation = dCorrelation/4;
pGLCMFVar.dAveLocalCalm = dLocalCalm/4;
pGLCMFVar.dVarEnergy=((dEnergy11-pGLCMFVar.dAveEnergy)*(dEnergy11-pGLCMFVar.dAveEnergy)
+(dEnergy22-pGLCMFVar.dAveEnergy)*(dEnergy22-pGLCMFVar.dAveEnergy)
+(dEnergy33-pGLCMFVar.dAveEnergy)*(dEnergy33-pGLCMFVar.dAveEnergy)
+(dEnergy44-pGLCMFVar.dAveEnergy)*(dEnergy44-pGLCMFVar.dAveEnergy))/4;
pGLCMFVar.dVarEntropy=((dEntropy11-pGLCMFVar.dAveEntropy)*(dEntropy11-pGLCMFVar.dAveEntropy)
+(dEntropy22-pGLCMFVar.dAveEntropy)*(dEntropy22-pGLCMFVar.dAveEntropy)
+(dEntropy33-pGLCMFVar.dAveEntropy)*(dEntropy33-pGLCMFVar.dAveEntropy)
+(dEntropy44-pGLCMFVar.dAveEntropy)*(dEntropy44-pGLCMFVar.dAveEntropy))/4;
pGLCMFVar.dVarInertiaQuadrature=((dInertiaQuadrature11-pGLCMFVar.dAveInertiaQuadrature)*(dInertiaQuadrature11-pGLCMFVar.dAveInertiaQuadrature)
+(dInertiaQuadrature22-pGLCMFVar.dAveInertiaQuadrature)*(dInertiaQuadrature22-pGLCMFVar.dAveInertiaQuadrature)
+(dInertiaQuadrature33-pGLCMFVar.dAveInertiaQuadrature)*(dInertiaQuadrature33-pGLCMFVar.dAveInertiaQuadrature)
+(dInertiaQuadrature44-pGLCMFVar.dAveInertiaQuadrature)*(dInertiaQuadrature44-pGLCMFVar.dAveInertiaQuadrature))/4;
pGLCMFVar.dVarCorrelation=((dCorrelation11-pGLCMFVar.dAveCorrelation)*(dCorrelation11-pGLCMFVar.dAveCorrelation)
+(dCorrelation22-pGLCMFVar.dAveCorrelation)*(dCorrelation22-pGLCMFVar.dAveCorrelation)
+(dCorrelation33-pGLCMFVar.dAveCorrelation)*(dCorrelation33-pGLCMFVar.dAveCorrelation)
+(dCorrelation44-pGLCMFVar.dAveCorrelation)*(dCorrelation44-pGLCMFVar.dAveCorrelation))/4;
pGLCMFVar.dVarLocalCalm=((dLocalCalm11-pGLCMFVar.dAveLocalCalm)*(dLocalCalm11-pGLCMFVar.dAveLocalCalm)
+(dLocalCalm22-pGLCMFVar.dAveLocalCalm)*(dLocalCalm22-pGLCMFVar.dAveLocalCalm)
+(dLocalCalm33-pGLCMFVar.dAveLocalCalm)*(dLocalCalm33-pGLCMFVar.dAveLocalCalm)
+(dLocalCalm44-pGLCMFVar.dAveLocalCalm)*(dLocalCalm44-pGLCMFVar.dAveLocalCalm))/4;
for(i=0; i<FilterWindowWidth; i++)
{
free(arLocalImage[i]) ;
arLocalImage[i] = NULL;
}
free(arLocalImage);
arLocalImage = NULL;
return pGLCMFVar;
}
//测试文件
#include "iostream"
using namespace std;
#include "cv.h"
#include "highgui.h"
const char* filename = "C:\\Users\\Administrator\\Desktop\\1.png";
int main()
{
IplImage* dst = cvLoadImage(filename,0);
if (dst)
{
assert("读入图像错误！");
}
int selSize = 16;
int selAngle = 0;
ZBGLCM glcm;
double Sa[5] = {0};
Sa[0] = glcm.GLCMFeature(((uchar *)dst->imageData),dst->width,dst->height,selSize,selAngle).dCorrelation;
Sa[1] = glcm.GLCMFeature(((uchar *)dst->imageData),dst->width,dst->height,selSize,selAngle).dEnergy;
Sa[2] = glcm.GLCMFeature(((uchar *)dst->imageData),dst->width,dst->height,selSize,selAngle).dEntropy;
Sa[3] = glcm.GLCMFeature(((uchar *)dst->imageData),dst->width,dst->height,selSize,selAngle).dInertiaQuadrature;
Sa[4] = glcm.GLCMFeature(((uchar *)dst->imageData),dst->width,dst->height,selSize,selAngle).dLocalCalm;
cout<<"相关："<<Sa[0]<<endl<<"能量："<<Sa[1]<<endl<<"熵："<<Sa[2]<<endl<<"对比度："<<Sa[3]<<endl<<"逆差距："<<Sa[4]<<endl;
return 0;
}
//这是我调试成功的代码，可以直接运行！
0 0
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- 图像腐蚀，膨胀
