2.7. GEOMETRYMANIPULATION
161
2.7.42 -sort(+)
Arguments:
ordering={ +
| - },
axis={ x
| y
| z
| c }
Sort pixel values of selected images.
If ’axis’ is specified, the sorting is doneaccording to the data of thefirst column/row/slice/channel of selected
images.
Default values:
• ’ordering=+’ and ’axis=(undefined)’.
Example258: 64 -rand 0,100 --sort -display
graph 400,300,3
2.7.43 -split (+)
Arguments:
• { x
| y
| z
| c }..{ x
| y
| z
| c },
split
mode
• keep
splitting
values={ +
| - },
{ x
| y
| z
| c }..{ x
| y
| z
| c
},value1,
value2,...
• (no args)
Split selected images along specified axes, or regarding to a sequence of scalar values (optionally along
specified axes too).
(eq. to
’-s’
).
’split
mode’ can be { 0=split according to constant values | >0=split in N parts | <0=split in parts of size
-N }.
Default value:
• ’split
mode=-1’.
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162
CHAPTER 2. LIST OF COMMANDS
Example259: image.jpg -split c
Example 260 : image.jpg -split y,3
Example261 :image.jpg -split x,-128
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2.7. GEOMETRY MANIPULATION
163
Example262 : 1,20,1,1,"1,2,3,4" --split -,2,3 -append[1--1] y
Example263 :(1,2,2,3,3,3,4,4,4,4) --split x,0 -append[1--1] y
2.7.44 -split
tiles
Arguments:
• M!=0,
N!=0,
is
homogeneous={ 0
| 1 }
Split selected images as a MxN array of tiles.
If M or N is negative, it stands for the tile size instead.
Default values:
• ’N=M’ and ’is
homogeneous=0’.
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164
CHAPTER 2. LIST OF COMMANDS
Example 264 : image.jpg --local -split
tiles 5,4 -blur 3,0 -sharpen 700 -append
tiles 4,5
-endlocal
2.7.45 -unroll (+)
Arguments:
axis={ x
| y
| z
| c }
Unroll selected images alongspecified axis.
(eq. to
’-y’
).
Default value:
• ’axis=y’.
Example 265 : (1,2,3;4,5,6;7,8,9) --unroll y
2.7.46 -upscale
smart
Arguments:
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2.7. GEOMETRY MANIPULATION
165
• width[%],
height[%],
depth,
smoothness>=0,
anisotropy=[0,1],sharpening>=0
Upscale selected images with an edge-preserving algorithm.
Default values:
• ’height=100%’, ’depth=100%’, ’smoothness=2’, ’anisotropy=0.4’ and
’sharpening=10’.
Example266 : image.jpg -resize2dy 100 --upscale
smart 500%,500% -append x
2.7.47 -warp (+)
Arguments:
• [warping
field],
mode,
interpolation,
boundary,
nb
frames>0
Warp selected image with specified displacement field.
’mode’ can be { 0=backward-absolute | 1=backward-relative | 2=forward-absolute | 3=forward-relative
}.
’interpolation’ can be { 0=nearest-neighbor | 1=linear | 2=cubic }.
’boundary’ can be { 0=dirichlet | 1=neumann | 2=periodic }.
Default values:
• ’mode=0’, ’interpolation=1’, ’boundary=1’ and ’nb
frames=1’.
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166
CHAPTER 2. LIST OF COMMANDS
Example267 :image.jpg 100%,100%,1,2,’X=x/w-0.5;Y=y/h-0.5;R=(X
*
X+Y
*
Y)ˆ0.5;A=atan2(Y,
X);130
*
R
*
if(c==0,cos(4
*
A),sin(8
*
A))’ -warp..
[-1],1,1,0 -quiver.
[-1],10,0.2,1,1,100
Tutorial page:
http://gmic.eu/tutorial/_warp.shtml
2.8 Filtering
2.8.1 -bandpass
Arguments:
min
freq[%],
max
freq[%]
Apply bandpass filter to selected images.
Default values:
• ’min
freq=0’ and ’max
freq=20%’.
Example 268 : image.jpg -bandpass 1%,3%
2.8. FILTERING
167
Tutorial page:
http://gmic.eu/tutorial/_bandpass.shtml
2.8.2 -bilateral (+)
Arguments:
• [guide],std
variation
s>0[%],std
variation
r[%]>0,
sampling
s>=0,
sampling
r>=0
• std
variation
s>0[%],std
variation
r[%]>0,
sampling
s>=0,
sampling
r>=0
Blur selected images by anisotropic (eventually joint/cross) bilateral filtering.
If a guide image is provided, it is used for drive the smoothing filter.
Aguide image must be of the same xyz-size as the selected images.
Set ’sampling’ arguments to ’0’ for automatic adjustment.
Example269 : image.jpg [0] -repeat 5 -bilateral.
10,10 -done
2.8.3 -blur (+)
Arguments:
• std
variation>=0[%],
boundary,
kernel
• axes,std
variation>=0[%],
boundary,
kernel
Blur selected images by a quasi-gaussian or gaussian filter (recursive implementation).
(eq. to
’-b’
).
’boundary’ can be {0=dirichlet | 1=neumann}and’kernel’ canbe{ 0=quasi-gaussian (faster) | 1=gaussian
}.
When specified, argument ’axes’ is a sequence of { x | y | z | c }.
Specifyingone axis multiple times apply also the blur multiple times.
Default values:
• ’boundary=1’ and ’kernel=0’.
168
CHAPTER 2. LIST OF COMMANDS
Example270: image.jpg --blur 5,0 --blur[0] 5,1
Example271 : image.jpg --blur y,10%
Tutorial page:
http://gmic.eu/tutorial/_blur.shtml
2.8.4 -blur
angular
Arguments:
• amplitude[%],
center
x[%],
center
y[%]
Apply angular blur on selected images.
Default values:
• ’center
x=center
y=50%’.
2.8. FILTERING
169
Example272 : image.jpg --blur
angular 2%
Tutorial page:
http://gmic.eu/tutorial/_blur_angular.shtml
2.8.5 -blur
linear
Arguments:
• amplitude1[%],
amplitude2[%],
angle,
boundary={ 0=dirichlet
| 1=neumann }
Apply linear blur on selected images, with specified angle andamplitudes.
Default values:
• ’amplitude2=0’, ’angle=0’ and ’boundary=1’.
Example 273 : image.jpg --blur
linear 10,0,45
Tutorial page:
http://gmic.eu/tutorial/_blur_linear.shtml
170
CHAPTER 2. LIST OF COMMANDS
2.8.6 -blur
radial
Arguments:
• amplitude[%],
center
x[%],
center
y[%]
Apply radial blur on selected images.
Default values:
• ’center
x=center
y=50%’.
Example 274 : image.jpg --blur
radial 2%
Tutorial page:
http://gmic.eu/tutorial/_blur_radial.shtml
2.8.7 -blur
selective
Arguments:
• sigma>=0,
edges>0,
nb
scales>0
Blur selected images using selective gaussian scales.
Default values:
• ’sigma=5’, ’edges=0.5’ and ’nb
scales=5’.
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