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2.5. VALUESMANIPULATION
111
Example165:(1;2;3;4;5) --replace
seq "2,3,4","7,8"
2.5.40 -replace
str
Arguments:
• "search
str","replace
str"
Search and replace a string in selected images (viewed as strings, i.e. sequences of ascii codes).
Example 166 : ({’"Hello there, how are you ?"’}) --replace
str "Hello there","Hi David"
2.5.41 -round (+)
Arguments:
• rounding
value>=0,
rounding
type
• (no arg)
Round values of selected images.
’rounding
type’ can be { -1=backward | 0=nearest | 1=forward }.
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112
CHAPTER 2. LIST OF COMMANDS
Default value:
• ’rounding
type=0’.
Example 167 : image.jpg --round 100
Example 168 : image.jpg -mul {pi/180} -sin --round
2.5.42 -roundify
Arguments:
• gamma>=0
Apply roundify transformation on float-valued data, with specified gamma.
Default value:
• ’gamma=0’.
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2.5. VALUES MANIPULATION
113
Example 169 : 1000 -fill ’4
*
x/w’ -repeat 5 --roundify[0] {$>
*
0.2} -done -append c
-display
graph 400,300
2.5.43 -set (+)
Arguments:
• value,
x[%],
y[%],
z[%],
c[%]
Set pixel value in selected images, at specified coordinates.
(eq. to
’-=’
).
If specified coordinates are outside the image bounds, no action is performed.
Default values:
• ’x=y=z=c=0’.
Example 170 : 2,2 -set 1,0,0 -set 2,1,0 -set 3,0,1 -set 4,1,1
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114
CHAPTER 2. LIST OF COMMANDS
Example 171 : image.jpg -repeat 10000 -set 255,{u(100)}%,{u(100)}%,0,{u(100)}% -done
2.5.44 -threshold (+)
Arguments:
• value[%],
is
soft={ 0
| 1 }
• (no arg)
Threshold values of selected images.
’soft’ can be { 0=hard-thresholding | 1=soft-thresholding }.
(no arg) runs interactive mode (uses the instant display window [0] if opened).
In this case, the chosen threshold value is returned in the status.
Default value:
• ’is
soft=0’.
Example 172 : image.jpg --threshold[0] 50% --threshold[0] 50%,1
Tutorial page:
http://gmic.eu/tutorial/_threshold.shtml
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2.6. COLORS MANIPULATION
115
2.5.45 -unrepeat
Remove repetition of adjacent values in selected images.
Example 173 : (1;1;1;1;1;2;2;2;3;4;4;4;5;5;5) --unrepeat
2.5.46 -vector2tensor
Convert selected vector fields to corresponding tensor fields.
2.6 Colors manipulation
2.6.1 -apply
channels
Arguments:
• "command",channels,
value
action={ 0=none
| 1=cut
| 2=normalize }
Apply specified command on the chosen color channel(s) of each selected images.
(eq. to
’-ac’
).
Argument ’channels’ refers to a colorspace, and can be basically one of { all | rgba | rgb | lrgb | ycbcr
| lab | lch | hsv | hsi | hsl | cmy | cmyk | yiq }.
You can also focus the processing on one particular channel of this colorspace, by setting ’channels’ as
’colorspace
channel’ (e.g. ’hsv
h’ for the hue).
All channel values are considered to be in the [0,255] range.
Default value:
• ’value
action=0’.
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116
CHAPTER 2. LIST OF COMMANDS
Example 174 : image.jpg --apply
channels "-equalize -blur 2",ycbcr
cbcr
2.6.2 -autoindex
Arguments:
• nb
colors>0,0<=
dithering<=1,
method={ 0=median-cut
| 1=k-means }
Index selected vector-valued images by adapted colormaps.
Default values:
• ’dithering=0’ and ’method=1’.
Example 175 : image.jpg --autoindex[0] 4 --autoindex[0] 8 --autoindex[0] 16
2.6.3 -bayer2rgb
Arguments:
GM
smoothness,
RB
smoothness1,
RB
smoothness2
Transform selected RGB-Bayer sampled images to color images.
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2.6. COLORS MANIPULATION
117
Default values:
• ’GM
smoothness=RB
smoothness=1’ and’RB
smoothness2=0.5’.
Example 176 : image.jpg -rgb2bayer 0 --bayer2rgb 1,1,0.5
2.6.4 -cmy2rgb
Convert selected images from CMY to RGB colorbases.
2.6.5 -cmyk2rgb
Convert selected images from CMYK to RGB colorbases.
2.6.6 -colorblind
Arguments:
• type={ 0=protanopia
| 1=protanomaly
| 2=deuteranopia
| 3=deuteranomaly
| 4=tritanopia
| 5=tritanomaly
| 6=achromatopsia
| 7=achromatomaly }
Simulate color blindness vision.
Example 177 : image.jpg --colorblind 0
118
CHAPTER 2. LIST OF COMMANDS
2.6.7 -colormap
Arguments:
• nb
levels>=0,
method={ 0=median-cut
| 1=k-means },
sort
vectors={ 0
| 1 }
Estimate best-fitting colormap with ’nb
colors’ entries, to index selected images.
Set ’nb
levels==0’ to extract all existing colors of an image.
Default value:
• ’method=1’ and ’sort
vectors=1’.
Example 178 : image.jpg --colormap[0] 4 --colormap[0] 8 --colormap[0] 16
Tutorial page:
http://gmic.eu/tutorial/_colormap.shtml
2.6.8 -compose
channels
Compose all channels of each selected image, using specified arithmetic operator (+,-,or,min,...).
Default value:
• ’1=+’.
2.6. COLORS MANIPULATION
119
Example 179 : image.jpg --compose
channels and
Tutorial page:
http://gmic.eu/tutorial/_compose_channels.shtml
2.6.9 -direction2rgb
Compute RGB representation of selected 2d direction fields.
Example 180 : image.jpg -luminance -gradient -append c -blur 2 -orientation --direction2rgb
2.6.10 -ditheredbw
Create dithered B&W version of selected images.
120
CHAPTER 2. LIST OF COMMANDS
Example 181 : image.jpg --equalize -ditheredbw.
2.6.11 -fill
color
Arguments:
• col1,...,colN
Fill selected images with specified color.
(eq. to
’-fc’
).
Example 182 : image.jpg --fill
color 255,0,255
2.6.12 -gradient2rgb
Arguments:
is
orientation={ 0
| 1 }
Compute RGB representation of 2d gradient of selected images.
Default value:
• ’is
orientation=0’.
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