702     grays[i].black=(~0U);  in GetImageFeatures()
735         grays[ScaleQuantumToMap(GetPixelBlack(image,p))].black=  in GetImageFeatures()
761       if (grays[i].black != ~0U)  in GetImageFeatures()
762         grays[gray.black++].black=grays[i].black;  in GetImageFeatures()
776     if (gray.black > number_grays)  in GetImageFeatures()
777       number_grays=gray.black;  in GetImageFeatures()
972             while (grays[u].black != ScaleQuantumToMap(GetPixelBlack(image,p)))  in GetImageFeatures()
974 … while (grays[v].black != ScaleQuantumToMap(GetPixelBlack(image,p+offset*GetPixelChannels(image))))  in GetImageFeatures()
976             cooccurrence[u][v].direction[i].black++;  in GetImageFeatures()
977             cooccurrence[v][u].direction[i].black++;  in GetImageFeatures()
1067           cooccurrence[x][y].direction[i].black*=normalize;  in GetImageFeatures()
1106             cooccurrence[x][y].direction[i].black*  in GetImageFeatures()
1107             cooccurrence[x][y].direction[i].black;  in GetImageFeatures()
1119           sum[y].direction[i].black+=cooccurrence[x][y].direction[i].black;  in GetImageFeatures()
1128           correlation.direction[i].black+=x*y*  in GetImageFeatures()
1129             cooccurrence[x][y].direction[i].black;  in GetImageFeatures()
1144             cooccurrence[x][y].direction[i].black/((y-x)*(y-x)+1);  in GetImageFeatures()
1158           density_xy[y+x+2].direction[i].black+=  in GetImageFeatures()
1159             cooccurrence[x][y].direction[i].black;  in GetImageFeatures()
1177             cooccurrence[x][y].direction[i].black*  in GetImageFeatures()
1178             MagickLog10(cooccurrence[x][y].direction[i].black);  in GetImageFeatures()
1193           density_x[x].direction[i].black+=  in GetImageFeatures()
1194             cooccurrence[x][y].direction[i].black;  in GetImageFeatures()
1199           density_y[y].direction[i].black+=  in GetImageFeatures()
1200             cooccurrence[x][y].direction[i].black;  in GetImageFeatures()
1213           mean.direction[i].black+=y*sum[y].direction[i].black;  in GetImageFeatures()
1214           sum_squares.direction[i].black+=y*y*sum[y].direction[i].black;  in GetImageFeatures()
1245         (correlation.direction[i].black-mean.direction[i].black*  in GetImageFeatures()
1246         mean.direction[i].black)/(sqrt(sum_squares.direction[i].black-  in GetImageFeatures()
1247         (mean.direction[i].black*mean.direction[i].black))*sqrt(  in GetImageFeatures()
1248         sum_squares.direction[i].black-(mean.direction[i].black*  in GetImageFeatures()
1249         mean.direction[i].black)));  in GetImageFeatures()
1283           x*density_xy[x].direction[i].black;  in GetImageFeatures()
1301           density_xy[x].direction[i].black*  in GetImageFeatures()
1302           MagickLog10(density_xy[x].direction[i].black);  in GetImageFeatures()
1326           density_xy[x].direction[i].black;  in GetImageFeatures()
1363           variance.direction[i].black+=(y-mean.direction[i].black+1)*  in GetImageFeatures()
1364             (y-mean.direction[i].black+1)*cooccurrence[x][y].direction[i].black;  in GetImageFeatures()
1379           density_xy[MagickAbsoluteValue(y-x)].direction[i].black+=  in GetImageFeatures()
1380             cooccurrence[x][y].direction[i].black;  in GetImageFeatures()
1394           entropy_xy.direction[i].black-=cooccurrence[x][y].direction[i].black*  in GetImageFeatures()
1395             MagickLog10(cooccurrence[x][y].direction[i].black);  in GetImageFeatures()
1408           entropy_xy1.direction[i].black-=(  in GetImageFeatures()
1409             cooccurrence[x][y].direction[i].black*MagickLog10(  in GetImageFeatures()
1410             density_x[x].direction[i].black*density_y[y].direction[i].black));  in GetImageFeatures()
1425           entropy_xy2.direction[i].black-=(density_x[x].direction[i].black*  in GetImageFeatures()
1426             density_y[y].direction[i].black*MagickLog10(  in GetImageFeatures()
1427             density_x[x].direction[i].black*density_y[y].direction[i].black));  in GetImageFeatures()
1442         variance.direction[i].black;  in GetImageFeatures()
1470         variance.direction[i].black+=density_xy[x].direction[i].black;  in GetImageFeatures()
1480         sum_squares.direction[i].black+=density_xy[x].direction[i].black*  in GetImageFeatures()
1481           density_xy[x].direction[i].black;  in GetImageFeatures()
1499           density_xy[x].direction[i].black*  in GetImageFeatures()
1500           MagickLog10(density_xy[x].direction[i].black);  in GetImageFeatures()
1515         entropy_x.direction[i].black-=(density_x[x].direction[i].black*  in GetImageFeatures()
1516           MagickLog10(density_x[x].direction[i].black));  in GetImageFeatures()
1527         entropy_y.direction[i].black-=(density_y[x].direction[i].black*  in GetImageFeatures()
1528           MagickLog10(density_y[x].direction[i].black));  in GetImageFeatures()
1550         (((double) number_grays*number_grays*sum_squares.direction[i].black)-  in GetImageFeatures()
1551         (variance.direction[i].black*variance.direction[i].black))/  in GetImageFeatures()
1575         (entropy_xy.direction[i].black-entropy_xy1.direction[i].black)/  in GetImageFeatures()
1576         (entropy_x.direction[i].black > entropy_y.direction[i].black ?  in GetImageFeatures()
1577          entropy_x.direction[i].black : entropy_y.direction[i].black);  in GetImageFeatures()
1594         (sqrt(fabs(1.0-exp(-2.0*(double) (entropy_xy2.direction[i].black-  in GetImageFeatures()
1595         entropy_xy.direction[i].black)))));  in GetImageFeatures()
1638                 pixel.direction[i].black+=cooccurrence[x][y].direction[i].black;  in GetImageFeatures()
1656             Q[z][y].direction[i].black+=cooccurrence[z][x].direction[i].black*  in GetImageFeatures()
1657               cooccurrence[y][x].direction[i].black/  in GetImageFeatures()
1658               density_x[z].direction[i].black/density_y[x].direction[i].black;  in GetImageFeatures()
1675           pixel.direction[i].black;  in GetImageFeatures()