Lines Matching refs:red
698 grays[i].red=(~0U); in GetImageFeatures()
728 grays[ScaleQuantumToMap(GetPixelRed(image,p))].red= in GetImageFeatures()
754 if (grays[i].red != ~0U) in GetImageFeatures()
755 grays[gray.red++].red=grays[i].red; in GetImageFeatures()
770 number_grays=gray.red; in GetImageFeatures()
946 while (grays[u].red != ScaleQuantumToMap(GetPixelRed(image,p))) in GetImageFeatures()
948 … while (grays[v].red != ScaleQuantumToMap(GetPixelRed(image,p+offset*GetPixelChannels(image)))) in GetImageFeatures()
950 cooccurrence[u][v].direction[i].red++; in GetImageFeatures()
951 cooccurrence[v][u].direction[i].red++; in GetImageFeatures()
1063 cooccurrence[x][y].direction[i].red*=normalize; in GetImageFeatures()
1096 cooccurrence[x][y].direction[i].red* in GetImageFeatures()
1097 cooccurrence[x][y].direction[i].red; in GetImageFeatures()
1115 sum[y].direction[i].red+=cooccurrence[x][y].direction[i].red; in GetImageFeatures()
1122 correlation.direction[i].red+=x*y*cooccurrence[x][y].direction[i].red; in GetImageFeatures()
1137 cooccurrence[x][y].direction[i].red/((y-x)*(y-x)+1); in GetImageFeatures()
1151 density_xy[y+x+2].direction[i].red+= in GetImageFeatures()
1152 cooccurrence[x][y].direction[i].red; in GetImageFeatures()
1167 cooccurrence[x][y].direction[i].red* in GetImageFeatures()
1168 MagickLog10(cooccurrence[x][y].direction[i].red); in GetImageFeatures()
1186 density_x[x].direction[i].red+=cooccurrence[x][y].direction[i].red; in GetImageFeatures()
1195 density_y[y].direction[i].red+=cooccurrence[x][y].direction[i].red; in GetImageFeatures()
1205 mean.direction[i].red+=y*sum[y].direction[i].red; in GetImageFeatures()
1206 sum_squares.direction[i].red+=y*y*sum[y].direction[i].red; in GetImageFeatures()
1226 (correlation.direction[i].red-mean.direction[i].red* in GetImageFeatures()
1227 mean.direction[i].red)/(sqrt(sum_squares.direction[i].red- in GetImageFeatures()
1228 (mean.direction[i].red*mean.direction[i].red))*sqrt( in GetImageFeatures()
1229 sum_squares.direction[i].red-(mean.direction[i].red* in GetImageFeatures()
1230 mean.direction[i].red))); in GetImageFeatures()
1276 x*density_xy[x].direction[i].red; in GetImageFeatures()
1291 density_xy[x].direction[i].red* in GetImageFeatures()
1292 MagickLog10(density_xy[x].direction[i].red); in GetImageFeatures()
1313 density_xy[x].direction[i].red; in GetImageFeatures()
1356 variance.direction[i].red+=(y-mean.direction[i].red+1)* in GetImageFeatures()
1357 (y-mean.direction[i].red+1)*cooccurrence[x][y].direction[i].red; in GetImageFeatures()
1372 density_xy[MagickAbsoluteValue(y-x)].direction[i].red+= in GetImageFeatures()
1373 cooccurrence[x][y].direction[i].red; in GetImageFeatures()
1387 entropy_xy.direction[i].red-=cooccurrence[x][y].direction[i].red* in GetImageFeatures()
1388 MagickLog10(cooccurrence[x][y].direction[i].red); in GetImageFeatures()
1400 entropy_xy1.direction[i].red-=(cooccurrence[x][y].direction[i].red* in GetImageFeatures()
1401 MagickLog10(density_x[x].direction[i].red*density_y[y].direction[i].red)); in GetImageFeatures()
1415 entropy_xy2.direction[i].red-=(density_x[x].direction[i].red* in GetImageFeatures()
1416 density_y[y].direction[i].red*MagickLog10(density_x[x].direction[i].red* in GetImageFeatures()
1417 density_y[y].direction[i].red)); in GetImageFeatures()
1435 variance.direction[i].red; in GetImageFeatures()
1466 variance.direction[i].red+=density_xy[x].direction[i].red; in GetImageFeatures()
1473 sum_squares.direction[i].red+=density_xy[x].direction[i].red* in GetImageFeatures()
1474 density_xy[x].direction[i].red; in GetImageFeatures()
1489 density_xy[x].direction[i].red* in GetImageFeatures()
1490 MagickLog10(density_xy[x].direction[i].red); in GetImageFeatures()
1508 entropy_x.direction[i].red-=(density_x[x].direction[i].red* in GetImageFeatures()
1509 MagickLog10(density_x[x].direction[i].red)); in GetImageFeatures()
1520 entropy_y.direction[i].red-=(density_y[x].direction[i].red* in GetImageFeatures()
1521 MagickLog10(density_y[x].direction[i].red)); in GetImageFeatures()
1537 (((double) number_grays*number_grays*sum_squares.direction[i].red)- in GetImageFeatures()
1538 (variance.direction[i].red*variance.direction[i].red))/ in GetImageFeatures()
1562 (entropy_xy.direction[i].red-entropy_xy1.direction[i].red)/ in GetImageFeatures()
1563 (entropy_x.direction[i].red > entropy_y.direction[i].red ? in GetImageFeatures()
1564 entropy_x.direction[i].red : entropy_y.direction[i].red); in GetImageFeatures()
1584 (sqrt(fabs(1.0-exp(-2.0*(double) (entropy_xy2.direction[i].red- in GetImageFeatures()
1585 entropy_xy.direction[i].red))))); in GetImageFeatures()
1634 pixel.direction[i].red+=cooccurrence[x][y].direction[i].red; in GetImageFeatures()
1646 Q[z][y].direction[i].red+=cooccurrence[z][x].direction[i].red* in GetImageFeatures()
1647 cooccurrence[y][x].direction[i].red/density_x[z].direction[i].red/ in GetImageFeatures()
1648 density_y[x].direction[i].red; in GetImageFeatures()
1651 density_x[z].direction[i].green/density_y[x].direction[i].red; in GetImageFeatures()
1668 pixel.direction[i].red; in GetImageFeatures()
2274 distance=(mean_pixel.red-pixel.red)*(mean_pixel.red-pixel.red)+ in MeanShiftImage()
2281 sum_pixel.red+=pixel.red; in MeanShiftImage()
2293 mean_pixel.red=gamma*sum_pixel.red; in MeanShiftImage()
2301 255.0*QuantumScale*(mean_pixel.red-previous_pixel.red)* in MeanShiftImage()
2302 255.0*QuantumScale*(mean_pixel.red-previous_pixel.red)+ in MeanShiftImage()
2310 SetPixelRed(mean_image,ClampToQuantum(mean_pixel.red),q); in MeanShiftImage()