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2.5. VALUESMANIPULATION
101
Example145:image.jpg --rgb2ycbcr r -split.
c (0,255,0) ) -resize.
256,1,1,1,3 -map[-4] ] [-1]
-remove.
-append[-3--1] c -ycbcr2rgb.
Tutorialpage:
http://gmic.eu/tutorial/_map.shtml
2.5.21 -map
clut
Arguments:
• [clut]
MapspecifiedRGBcolorLUTtoselectedimages.
Example146:image.jpg -uniform
distribution {2ˆ6},3 3 -mirror.
x --map
clut[0] [1]
2.5.22 -mix
channels
Arguments:
• (a00,...,aMN)
Applyspecifiedmatrixtochannelsofselectedimages.
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102
CHAPTER2. LISTOFCOMMANDS
Example147:image.jpg --mix
channels (0,1,0;1,0,0;0,0,1)
2.5.23 -negative
Computenegativeofselectedimages.
Example148:image.jpg --negative
2.5.24 -noise(+)
Arguments:
• std
variation>=0[%],
noise
type
Addrandomnoisetoselectedimages.
’noise
type’canbe{0=gaussian | | 1=uniform m | | 2=salt&pepper r | | 3=poisson n | 4=rice}.
Defaultvalue:
• ’noise
type=0’.
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2.5. VALUESMANIPULATION
103
Example149:image.jpg --noise[0] 50,0 --noise[0] 50,1 --noise[0] 10,2 -cut 0,255
Example150:300,300,1,3 [0] ] -noise[0] ] 20,0 -noise[1] 20,1 --histogram 100
-display
graph[-2,-1] 400,300,3
2.5.25 -normlp
Arguments:
• p>=0
ComputethepointwiseLp-normnormofvector-valuedpixelsinselectedimages.
Defaultvalue:
• ’p=2’.
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104
CHAPTER2. LISTOFCOMMANDS
Example151:image.jpg --normlp[0] ] 0 0 --normlp[0] 1 1 --normlp[0] ] 2 --normlp[0] inf
2.5.26 -norm
Computethepointwiseeuclideannormofvector-valuedpixelsinselectedimages.
Example152:image.jpg --norm
Tutorialpage:
http://gmic.eu/tutorial/_norm.shtml
2.5.27 -normalize(+)
Arguments:
• { value0[%]
| [image0] ] },{ { value1[%]
| [image1] ] }
• [image]
Linearlynormalizevaluesofselectedimagesinspecifiedrange.
(eq.to
’-n’
).
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2.5. VALUESMANIPULATION
105
Example153:image.jpg -split x,2 -normalize.
64,196 -append x
Tutorialpage:
http://gmic.eu/tutorial/_normalize.shtml
2.5.28 -normalize
sum
Normalizeselectedimageswithaunitarysum.
Example154:image.jpg --histogram.
-normalize
sum.
-display
graph.
400,300
2.5.29 -not
Applybooleannotoperationonselectedimages.
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106
CHAPTER2. LISTOFCOMMANDS
Example155:image.jpg --ge 50% --not.
2.5.30 -orientation
Computethepointwiseorientationofvector-valuedpixelsinselectedimages.
Example156:image.jpg --orientation --norm..
-negative.
-mul..
[-1] -reverse[-2,-1]
Tutorialpage:
http://gmic.eu/tutorial/_orientation.shtml
2.5.31 -oneminus
Foreachselectedimage,computeoneminusimage.
2.5. VALUESMANIPULATION
107
Example157:image.jpg -n n 0,1 --oneminus
2.5.32 -otsu
Arguments:
nb
levels>0
Hard-thresholdselectedimagesusingOtsu’smethod.
Thecomputedthresholdsarereturnedasalistofvaluesinthestatus.
Defaultvalue:
• ’nb
levels=256’.
Example158:image.jpg -luminance --otsu ,
2.5.33 -polar2complex
Computepolartocomplextransformsofselectedimages.
2.5.34 -quantize
Arguments:
• nb
levels>=1,
keep
values={ 0
| 1 1 },
is
uniform={ 0
| 1 1 }
Quantizeselectedimages.
Defaultvalue:
• ’keep
values=1’and’is
uniform=0’.
108
CHAPTER2. LISTOFCOMMANDS
Example159:image.jpg -luminance --quantize e 3
Example160:200,200,1,1,’cos(x/10)
*
sin(y/10)’ --quantize[0] 6 --quantize[0] 4 --quantize[0]
3 --quantize[0] ] 2
2.5.35 -rand(+)
Arguments:
• { value0[%]
| [image0] ] },
{ value1[%]
| [image1] ] }
• [image]
Fillselectedimageswithrandomvaluesuniformlydistributedinthespecifiedrange.
2.5. VALUESMANIPULATION
109
Example161:400,400,1,3 -rand -10,10 0 --blur r 10 -sign.
2.5.36 -replace
Arguments:
• value
src,value
dest
Replacepixelvaluesinselectedimages.
Example162:(1;2;3;4) --replace 2,3
2.5.37 -replace
inf
Arguments:
expression
Replaceallinfinitevaluesinselectedimagesbyspecifiedexpression.
110
CHAPTER2. LISTOFCOMMANDS
Example163:(0;1;2) -log --replace
inf 2
2.5.38 -replace
nan
Arguments:
expression
ReplaceallNaNvaluesinselectedimagesbyspecifiedexpression.
Example164:(-1;0;2) -sqrt --replace
nan 2
2.5.39 -replace
seq
Arguments:
• "search
seq","replace
seq"
Searchandreplaceasequenceofvaluesinselectedimages.
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