예제 #1
0
TEXTURE * Extract_Texture_Features(int distance, register gray **grays, int rows, int cols, TEXTURE_FEATURE_MAP *feature_usage)  
{
  FILE *ifp;
  register gray  *gP;
  int tone[PGM_MAXMAXVAL+1], R0, R45, R90, R135, angle, d = 1, x, y;
  int argn, bps, padright, row, col, i;
  int itone, jtone, tones,g_val;
  float **P_matrix0, **P_matrix45, **P_matrix90, **P_matrix135;
  float ASM[4], contrast[4], corr[4], var[4], idm[4], savg[4];
  float sentropy[4], svar[4], entropy[4], dvar[4], dentropy[4];
  float icorr[4], maxcorr[4];
  float *Tp;
  gray nmaxval, maxval;
  char *usage = "[-d <d>] [pgmfile]";
  TEXTURE *Texture;

    Texture = (TEXTURE *) calloc(1,sizeof(TEXTURE));
    if(!Texture) {
        printf("\nERROR in TEXTURE structure allocate\n");
        exit(1);
    }

  d = distance; 

   /* Determine the number of different gray scales (not maxval) */
  for (row = PGM_MAXMAXVAL; row >= 0; --row)
    tone[row] = -1;
  for (row = rows - 1; row >= 0; --row)
    for (col = 0; col < cols; ++col)
      {
   /*   if (grays[row][col])   If gray value equal 0 don't include */		
        tone[grays[row][col]] = grays[row][col];
      }	
  
 for (row = PGM_MAXMAXVAL, tones = 0; row >= 0; --row)
    if (tone[row] != -1)
      tones++;
 /* fprintf (stderr, "(Image has %d graylevels.)\n", tones); */

  /* Collapse array, taking out all zero values */
  for (row = 0, itone = 0; row <= PGM_MAXMAXVAL; row++)
    if (tone[row] != -1)
      tone[itone++] = tone[row];
  /* Now array contains only the gray levels present (in ascending order) */

  /* Allocate memory for gray-tone spatial dependence matrix */
  P_matrix0 = pgm_matrix (0, tones, 0, tones);
  P_matrix45 = pgm_matrix (0, tones, 0, tones);
  P_matrix90 = pgm_matrix (0, tones, 0, tones);
  P_matrix135 = pgm_matrix (0, tones, 0, tones);
  for (row = 0; row < tones; ++row)
    for (col = 0; col < tones; ++col)
    {
      P_matrix0[row][col] = P_matrix45[row][col] = 0;
      P_matrix90[row][col] = P_matrix135[row][col] = 0;
    }

   R0 = 0;
   R45 = 0;
   R90 = 0;
   R135 = 0;	
  /* Find gray-tone spatial dependence matrix */
 /* fprintf (stderr, "(Computing spatial dependence matrix..."); */
 
  for (row = 0; row < rows; ++row)
    for (col = 0; col < cols; ++col)
   /*  if (grays[row][col])  */
      for (x = 0, angle = 0; angle <= 135; angle += 45)
      {
	while (tone[x] != grays[row][col])
	  x++;
	/* M. Boland if (angle == 0 && col + d < cols)  */
	/* M. Boland - include neighbor only if != 0 */
	if (angle == 0 && col + d < cols && grays[row][col + d]) 
	{
	  y = 0;
	  while (tone[y] != grays[row][col + d])
	    y++;
  	  P_matrix0[x][y]++;
 	  P_matrix0[y][x]++;
  	  /* R0++;  M. Boland 25 Nov 98 */
	  R0+=2 ;
	}
	/* M. Boland if (angle == 90 && row + d < rows) */
	/* M. Boland - include neighbor only if != 0 */
	else if (angle == 90 && row + d < rows && grays[row + d][col])
	{
	  y = 0;
	  while (tone[y] != grays[row + d][col])
	    y++;
	    P_matrix90[x][y]++;
	    P_matrix90[y][x]++;
   	    /* R90++;  M. Boland 25 Nov 98 */
	    R90+=2 ;
	}
	/* M. Boland if (angle == 45 && row + d < rows && col - d >= 0) */
	/* M. Boland - include neighbor only if != 0 */
	else if (angle == 45 && row + d < rows && col - d >= 0 
		 && grays[row + d][col - d])
	{
	  y = 0;
	  while (tone[y] != grays[row + d][col - d])
	    y++;
  	  P_matrix45[x][y]++;
	  P_matrix45[y][x]++;
	  /* R45++;  M. Boland 25 Nov 98 */
	  R45+=2 ;
	}
	/* M. Boland if (angle == 135 && row + d < rows && col + d < cols) */
	else if (angle == 135 && row + d < rows && col + d < cols 
		 && grays[row + d][col + d])
	{
	  y = 0;
	  while (tone[y] != grays[row + d][col + d])
	    y++;
	  P_matrix135[x][y]++;
	  P_matrix135[y][x]++;
	  /* R135++;  M. Boland 25 Nov 98 */
	  R135+=2 ;
	}

     }	
  /* Gray-tone spatial dependence matrices are complete */

  /* Find normalizing constants */
/* R0 = 2 * rows * (cols - 1);
  R45 = 2 * (rows - 1) * (cols - 1);
  R90 = 2 * (rows - 1) * cols;
  R135 = R45;
*/

  /* Normalize gray-tone spatial dependence matrix */
  for (itone = 0; itone < tones; ++itone)
    for (jtone = 0; jtone < tones; ++jtone)
    {
      P_matrix0[itone][jtone] /= R0;
      P_matrix45[itone][jtone] /= R45;
      P_matrix90[itone][jtone] /= R90;
      P_matrix135[itone][jtone] /= R135;
    }

/*  fprintf (stderr, " done.)\n"); */
/*  fprintf (stderr, "(Computing textural features"); */
/*  fprintf (stdout, "\n"); */
/*  DOT; */
/*  fprintf (stdout,
	   "%s         0         45         90        135        Avg       Range\n",
	   BL);
*/
  if (feature_usage->ASM)
	{
  	ASM[0] = f1_asm (P_matrix0, tones);
  	ASM[1] = f1_asm (P_matrix45, tones);
  	ASM[2] = f1_asm (P_matrix90, tones);
  	ASM[3] = f1_asm (P_matrix135, tones);
	}
  Tp = &Texture->ASM[0];
  results (Tp, F1, ASM);

  if (feature_usage->contrast)
	{
  	contrast[0] = f2_contrast (P_matrix0, tones);
  	contrast[1] = f2_contrast (P_matrix45, tones);
  	contrast[2] = f2_contrast (P_matrix90, tones);
  	contrast[3] = f2_contrast (P_matrix135, tones);
	}
  Tp = &Texture->contrast[0];
  results (Tp, F2, contrast);

  if (feature_usage->correlation)
	{
 	corr[0] = f3_corr (P_matrix0, tones);
 	corr[1] = f3_corr (P_matrix45, tones);
  	corr[2] = f3_corr (P_matrix90, tones);
  	corr[3] = f3_corr (P_matrix135, tones);
	}
  Tp = &Texture->correlation[0];
  results (Tp, F3, corr);

  if (feature_usage->variance)
	{
  	var[0] = f4_var (P_matrix0, tones);
  	var[1] = f4_var (P_matrix45, tones);
  	var[2] = f4_var (P_matrix90, tones);
  	var[3] = f4_var (P_matrix135, tones);
	}
  Tp = &Texture->variance[0];
  results (Tp, F4, var); 

  if (feature_usage->IDM)
	{
  	idm[0] = f5_idm (P_matrix0, tones);
  	idm[1] = f5_idm (P_matrix45, tones);
  	idm[2] = f5_idm (P_matrix90, tones);
  	idm[3] = f5_idm (P_matrix135, tones);
	}
  Tp = &Texture->IDM[0];
  results (Tp, F5, idm); 

  if (feature_usage->sum_avg)
	{
  	savg[0] = f6_savg (P_matrix0, tones);
  	savg[1] = f6_savg (P_matrix45, tones);
  	savg[2] = f6_savg (P_matrix90, tones);
  	savg[3] = f6_savg (P_matrix135, tones);
	}
  Tp = &Texture->sum_avg[0];
  results (Tp, F6, savg); 

  if (feature_usage->sum_var)
	{
	sentropy[0] = f8_sentropy (P_matrix0, tones);
  	sentropy[1] = f8_sentropy (P_matrix45, tones);
  	sentropy[2] = f8_sentropy (P_matrix90, tones);
  	sentropy[3] = f8_sentropy (P_matrix135, tones);
	}
  if (feature_usage->sum_entropy)
	{  
	svar[0] = f7_svar (P_matrix0, tones, sentropy[0]);
  	svar[1] = f7_svar (P_matrix45, tones, sentropy[1]);
  	svar[2] = f7_svar (P_matrix90, tones, sentropy[2]);
  	svar[3] = f7_svar (P_matrix135, tones, sentropy[3]);
	}
  Tp = &Texture->sum_var[0];
  results (Tp, F7, svar); 
  Tp = &Texture->sum_entropy[0];
  results (Tp, F8, sentropy); 

  if (feature_usage->entropy)
	{
  	entropy[0] = f9_entropy (P_matrix0, tones);
  	entropy[1] = f9_entropy (P_matrix45, tones);
  	entropy[2] = f9_entropy (P_matrix90, tones);
  	entropy[3] = f9_entropy (P_matrix135, tones);
	}
  Tp = &Texture->entropy[0];
  results (Tp, F9, entropy); 

  if (feature_usage->diff_var)
	{  
	dvar[0] = f10_dvar (P_matrix0, tones);
 	dvar[1] = f10_dvar (P_matrix45, tones);
  	dvar[2] = f10_dvar (P_matrix90, tones);
  	dvar[3] = f10_dvar (P_matrix135, tones);
	}
  Tp = &Texture->diff_var[0];
  results (Tp, F10, dvar);

  if (feature_usage->diff_entropy)
	{  
	dentropy[0] = f11_dentropy (P_matrix0, tones);
  	dentropy[1] = f11_dentropy (P_matrix45, tones);
  	dentropy[2] = f11_dentropy (P_matrix90, tones);
  	dentropy[3] = f11_dentropy (P_matrix135, tones);
	}
  Tp = &Texture->diff_entropy[0];
  results (Tp, F11, dentropy);

   if (feature_usage->meas_corr1)
	{ 
	icorr[0] = f12_icorr (P_matrix0, tones);
  	icorr[1] = f12_icorr (P_matrix45, tones);
  	icorr[2] = f12_icorr (P_matrix90, tones);
  	icorr[3] = f12_icorr (P_matrix135, tones);
	}
  Tp = &Texture->meas_corr1[0];
  results (Tp, F12, icorr);

  if (feature_usage->meas_corr2)
	{  
	icorr[0] = f13_icorr (P_matrix0, tones);
  	icorr[1] = f13_icorr (P_matrix45, tones);
  	icorr[2] = f13_icorr (P_matrix90, tones);
  	icorr[3] = f13_icorr (P_matrix135, tones);
	}
  Tp = &Texture->meas_corr2[0];
  results (Tp, F13, icorr);

  if (feature_usage->max_corr_coef)
	{  
	maxcorr[0] = f14_maxcorr (P_matrix0, tones);
	maxcorr[1] = f14_maxcorr (P_matrix45, tones);
	maxcorr[2] = f14_maxcorr (P_matrix90, tones);
        maxcorr[3] = f14_maxcorr (P_matrix135, tones);
	}
  /* M. Boland - 24 Nov 98 */
  else {
    maxcorr[0] = 0 ;
    maxcorr[1] = 0 ;
    maxcorr[2] = 0 ;
    maxcorr[3] = 0 ;
  }

  Tp = &Texture->max_corr_coef[0];
  results (Tp, F14, maxcorr);

  for (i=0; i<=tones; i++) free(P_matrix0[i]);
  for (i=0; i<=tones; i++) free(P_matrix45[i]);
  for (i=0; i<=tones; i++) free(P_matrix90[i]);
  for (i=0; i<=tones; i++) free(P_matrix135[i]);

  free(P_matrix0);
  free(P_matrix45);
  free(P_matrix90);
  free(P_matrix135);

/*  fprintf (stderr, " done.)\n"); */
  return (Texture);
 /* exit (0);*/
}
예제 #2
0
int
main (int argc, const char ** argv) {

    FILE * ifP;
    gray ** grays;
    unsigned int tone[PGM_MAXMAXVAL+1];
    unsigned int r0, r45, r90;
    unsigned int d;
    unsigned int x, y;
    unsigned int row;
    int rows, cols;
    int argn;
    unsigned int itone;
    unsigned int toneCt;
    float ** p_matrix0, ** p_matrix45, ** p_matrix90, ** p_matrix135;
    float a2m[4], contrast[4], corr[4], var[4], idm[4], savg[4];
    float sentropy[4], svar[4], entropy[4], dvar[4], dentropy[4];
    float icorr[4], maxcorr[4];
    gray maxval;
    unsigned int i;
    const char * const usage = "[-d <d>] [pgmfile]";

    pm_proginit(&argc, argv);

    argn = 1;

    /* Check for flags. */
    if ( argn < argc && argv[argn][0] == '-' )
    {
        if ( argv[argn][1] == 'd' )
        {
            ++argn;
            if ( argn == argc || sscanf( argv[argn], "%u", &d ) != 1 )
                pm_usage( usage );
        }
        else
            pm_usage( usage );
        ++argn;
    }

    if ( argn < argc )
    {
        ifP = pm_openr( argv[argn] );
        ++argn;
    }
    else
        ifP = stdin;

    if ( argn != argc )
        pm_usage( usage );

    d = 1;

    grays = pgm_readpgm(ifP, &cols, &rows, &maxval);
    pm_close (ifP);

    /* Determine the number of different gray scales (not maxval) */
    for (i = 0; i <= PGM_MAXMAXVAL; ++i)
        tone[i] = -1;
    for (row = 0; row < rows; ++row) {
        unsigned int col;
        for (col = 0; col < cols; ++col)
            tone[grays[row][col]] = grays[row][col];
    }
    for (i = 0, toneCt = 0; i <= PGM_MAXMAXVAL; ++i) {
        if (tone[i] != -1)
            ++toneCt;
    }
    pm_message("(Image has %u gray levels.)", toneCt);

    /* Collapse array, taking out all zero values */
    for (row = 0, itone = 0; row <= PGM_MAXMAXVAL; ++row)
        if (tone[row] != -1)
            tone[itone++] = tone[row];
    /* Now array contains only the gray levels present (in ascending order) */

    /* Allocate memory for gray-tone spatial dependence matrix */
    p_matrix0   = matrix (0, toneCt, 0, toneCt);
    p_matrix45  = matrix (0, toneCt, 0, toneCt);
    p_matrix90  = matrix (0, toneCt, 0, toneCt);
    p_matrix135 = matrix (0, toneCt, 0, toneCt);

    for (row = 0; row < toneCt; ++row) {
        unsigned int col;
        for (col = 0; col < toneCt; ++col) {
            p_matrix0 [row][col] = p_matrix45 [row][col] = 0;
            p_matrix90[row][col] = p_matrix135[row][col] = 0;
        }
    }
    if (d > cols)
        pm_error("Image is narrower (%u columns) "
                 "than specified distance (%u)", cols, d);

    /* Find gray-tone spatial dependence matrix */
    pm_message("Computing spatial dependence matrix...");
    for (row = 0; row < rows; ++row) {
        unsigned int col;
        for (col = 0; col < cols; ++col) {
            unsigned int angle;
            for (angle = 0, x = 0; angle <= 135; angle += 45) {
                while (tone[x] != grays[row][col])
                    ++x;
                if (angle == 0 && col + d < cols) {
                    y = 0;
                    while (tone[y] != grays[row][col + d])
                        ++y;
                    ++p_matrix0[x][y];
                    ++p_matrix0[y][x];
                }
                if (angle == 90 && row + d < rows) {
                    y = 0;
                    while (tone[y] != grays[row + d][col])
                        ++y;
                    ++p_matrix90[x][y];
                    ++p_matrix90[y][x];
                }
                if (angle == 45 && row + d < rows && col >= d) {
                    y = 0;
                    while (tone[y] != grays[row + d][col - d])
                        ++y;
                    ++p_matrix45[x][y];
                    ++p_matrix45[y][x];
                }
                if (angle == 135 && row + d < rows && col + d < cols) {
                    y = 0;
                    while (tone[y] != grays[row + d][col + d])
                        ++y;
                    ++p_matrix135[x][y];
                    ++p_matrix135[y][x];
                }
            }
        }
    }
    /* Gray-tone spatial dependence matrices are complete */

    /* Find normalizing constants */
    r0  = 2 * rows * (cols - d);
    r45 = 2 * (rows - d) * (cols - d);
    r90 = 2 * (rows - d) * cols;

    /* Normalize gray-tone spatial dependence matrix */
    for (itone = 0; itone < toneCt; ++itone) {
        unsigned int jtone;
        for (jtone = 0; jtone < toneCt; ++jtone) {
            p_matrix0[itone][jtone]   /= r0;
            p_matrix45[itone][jtone]  /= r45;
            p_matrix90[itone][jtone]  /= r90;
            p_matrix135[itone][jtone] /= r45;
        }
    }
    pm_message(" ...done.");

    pm_message("Computing textural features ...");

    fprintf(stdout, "\n");
    fprintf(stdout,
            "%s         0         45         90        135        Avg\n",
            BL);

    a2m[0] = f1_a2m(p_matrix0,   toneCt);
    a2m[1] = f1_a2m(p_matrix45,  toneCt);
    a2m[2] = f1_a2m(p_matrix90,  toneCt);
    a2m[3] = f1_a2m(p_matrix135, toneCt);
    results(F1, a2m);

    contrast[0] = f2_contrast(p_matrix0,   toneCt);
    contrast[1] = f2_contrast(p_matrix45,  toneCt);
    contrast[2] = f2_contrast(p_matrix90,  toneCt);
    contrast[3] = f2_contrast(p_matrix135, toneCt);
    results(F2, contrast);


    corr[0] = f3_corr(p_matrix0,   toneCt);
    corr[1] = f3_corr(p_matrix45,  toneCt);
    corr[2] = f3_corr(p_matrix90,  toneCt);
    corr[3] = f3_corr(p_matrix135, toneCt);
    results(F3, corr);

    var[0] = f4_var(p_matrix0,   toneCt);
    var[1] = f4_var(p_matrix45,  toneCt);
    var[2] = f4_var(p_matrix90,  toneCt);
    var[3] = f4_var(p_matrix135, toneCt);
    results(F4, var);


    idm[0] = f5_idm(p_matrix0,   toneCt);
    idm[1] = f5_idm(p_matrix45,  toneCt);
    idm[2] = f5_idm(p_matrix90,  toneCt);
    idm[3] = f5_idm(p_matrix135, toneCt);
    results(F5, idm);

    savg[0] = f6_savg(p_matrix0,  toneCt);
    savg[1] = f6_savg(p_matrix45,  toneCt);
    savg[2] = f6_savg(p_matrix90,  toneCt);
    savg[3] = f6_savg(p_matrix135, toneCt);
    results(F6, savg);

    svar[0] = f7_svar(p_matrix0,   toneCt, savg[0]);
    svar[1] = f7_svar(p_matrix45,  toneCt, savg[1]);
    svar[2] = f7_svar(p_matrix90,  toneCt, savg[2]);
    svar[3] = f7_svar(p_matrix135, toneCt, savg[3]);
    results(F7, svar);

    sentropy[0] = f8_sentropy(p_matrix0,   toneCt);
    sentropy[1] = f8_sentropy(p_matrix45,  toneCt);
    sentropy[2] = f8_sentropy(p_matrix90,  toneCt);
    sentropy[3] = f8_sentropy(p_matrix135, toneCt);
    results(F8, sentropy);

    entropy[0] = f9_entropy(p_matrix0,   toneCt);
    entropy[1] = f9_entropy(p_matrix45,  toneCt);
    entropy[2] = f9_entropy(p_matrix90,  toneCt);
    entropy[3] = f9_entropy(p_matrix135, toneCt);
    results(F9, entropy);

    dvar[0] = f10_dvar(p_matrix0,   toneCt);
    dvar[1] = f10_dvar(p_matrix45,  toneCt);
    dvar[2] = f10_dvar(p_matrix90,  toneCt);
    dvar[3] = f10_dvar(p_matrix135, toneCt);
    results(F10, dvar);

    dentropy[0] = f11_dentropy(p_matrix0,   toneCt);
    dentropy[1] = f11_dentropy(p_matrix45,  toneCt);
    dentropy[2] = f11_dentropy(p_matrix90,  toneCt);
    dentropy[3] = f11_dentropy(p_matrix135, toneCt);
    results (F11, dentropy);

    icorr[0] = f12_icorr(p_matrix0,   toneCt);
    icorr[1] = f12_icorr(p_matrix45,  toneCt);
    icorr[2] = f12_icorr(p_matrix90,  toneCt);
    icorr[3] = f12_icorr(p_matrix135, toneCt);
    results(F12, icorr);

    icorr[0] = f13_icorr(p_matrix0,   toneCt);
    icorr[1] = f13_icorr(p_matrix45,  toneCt);
    icorr[2] = f13_icorr(p_matrix90,  toneCt);
    icorr[3] = f13_icorr(p_matrix135, toneCt);
    results(F13, icorr);

    maxcorr[0] = f14_maxcorr(p_matrix0,   toneCt);
    maxcorr[1] = f14_maxcorr(p_matrix45,  toneCt);
    maxcorr[2] = f14_maxcorr(p_matrix90,  toneCt);
    maxcorr[3] = f14_maxcorr(p_matrix135, toneCt);
    results(F14, maxcorr);

    pm_message(" ...done.");

    return 0;
}
예제 #3
0
float h_measure(int t_m)
{
    switch (t_m) {
	/* Angular Second Moment */
    case 1:
	return (f1_asm());
	break;

    /* Contrast */
    case 2:
	return (f2_contrast());
	break;

    /* Correlation */
    case 3:
	return (f3_corr());
	break;

    /* Variance */
    case 4:
	return (f4_var());
	break;

    /* Inverse Diff Moment */
    case 5:
	return (f5_idm());
	break;

    /* Sum Average */
    case 6:
	return (f6_savg());
	break;

    /* Sum Variance */
    case 7:
	return (f7_svar());
	break;

    /* Sum Entropy */
    case 8:
	return (f8_sentropy());
	break;

    /* Entropy */
    case 9:
	return (f9_entropy());
	break;

    /* Difference Variance */
    case 10:
	return (f10_dvar());
	break;

    /* Difference Entropy */
    case 11:
	return (f11_dentropy());
	break;

    /* Measure of Correlation-1 */
    case 12:
	return (f12_icorr());
	break;

    /* Measure of Correlation-2 */
    case 13:
	return (f13_icorr());
	break;
    }

    return 0;
}
예제 #4
0
TEXTURE * Extract_Texture_Features(int distance, int angle, 
		 		register u_int8_t **grays, int rows, int cols, int max_val)  
{
	int tone_LUT[PGM_MAXMAXVAL+1]; /* LUT mapping gray tone(0-255) to matrix indicies */
	int tone_count=0; /* number of tones actually in the img. atleast 1 less than 255 */
	int itone;
	int row, col, i;
	double **P_matrix;
	double sum_entropy;
	TEXTURE *Texture;
	Texture = (TEXTURE *) calloc(1,sizeof(TEXTURE));
	if (!Texture) {
		printf("\nERROR in TEXTURE structure allocate\n");
		exit(1);
	}
	
	/* Determine the number of different gray tones (not maxval) */
	for (row = PGM_MAXMAXVAL; row >= 0; --row)
		tone_LUT[row] = -1;
	for (row = rows - 1; row >= 0; --row)
		for (col = 0; col < cols; ++col)
			tone_LUT[grays[row][col]] = grays[row][col];
  
	for (row = PGM_MAXMAXVAL, tone_count = 0; row >= 0; --row)
		if (tone_LUT[row] != -1)
			  tone_count++;

	/* Use the number of different tones to build LUT */
	for (row = 0, itone = 0; row <= PGM_MAXMAXVAL; row++)
		if (tone_LUT[row] != -1)
		  tone_LUT[row] = itone++;
		  
	/* compute gray-tone spatial dependence matrix */
	if (angle == 0)
		P_matrix = CoOcMat_Angle_0   (distance, grays, rows, cols, tone_LUT, tone_count);
	else if (angle == 45)	
		P_matrix = CoOcMat_Angle_45  (distance, grays, rows, cols, tone_LUT, tone_count);
	else if (angle == 90)	
		P_matrix = CoOcMat_Angle_90  (distance, grays, rows, cols, tone_LUT, tone_count);
	else if (angle == 135)
		P_matrix = CoOcMat_Angle_135 (distance, grays, rows, cols, tone_LUT, tone_count);
	else {
		fprintf (stderr, "Cannot created co-occurence matrix for angle %d. Unsupported angle.\n", angle); 
		return NULL;
	}
	
	/* compute the statistics for the spatial dependence matrix */
  	Texture->ASM           = f1_asm       (P_matrix, tone_count);
  	Texture->contrast      = f2_contrast  (P_matrix, tone_count);
 	Texture->correlation   = f3_corr      (P_matrix, tone_count);
  	Texture->variance      = f4_var       (P_matrix, tone_count);
  	Texture->IDM           = f5_idm       (P_matrix, tone_count);
  	Texture->sum_avg       = f6_savg      (P_matrix, tone_count);
  	
  	/* T.J.M watch below the cast from float to double */ 
  	sum_entropy            = f8_sentropy  (P_matrix, tone_count); 
  	Texture->sum_entropy   = sum_entropy;
	Texture->sum_var       = f7_svar      (P_matrix, tone_count, sum_entropy);
	
  	Texture->entropy       = f9_entropy   (P_matrix, tone_count);
  	Texture->diff_var      = f10_dvar     (P_matrix, tone_count);
  	Texture->diff_entropy  = f11_dentropy (P_matrix, tone_count);
  	Texture->meas_corr1    = f12_icorr    (P_matrix, tone_count);
  	Texture->meas_corr2    = f13_icorr    (P_matrix, tone_count);
    Texture->max_corr_coef = f14_maxcorr  (P_matrix, tone_count);

	return (Texture);
}