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2.9. FEATURESEXTRACTION
231
Computeminimalpathbetweentwopointsonselectedpotentialmaps.
Defaultvalue:
• ’is
high
connectivity=0’.
Example 379 : image.jpg --gradient
norm -fill.
1/(1+i) -minimal
path.
0,0,0,100%,100%,0
-pointcloud.
0 -
*
.
280 -to
rgb.
-resize.
[-2],0 -or
2.9.23 -mse (+)
Compute MSE (Mean-Squared Error) matrix between selected images.
Example 380 : image.jpg --noise 30 --noise[0] 35 --noise[0] 38 -cut.
0,255 -mse
2.9.24 -patches
Arguments:
• patch
width>0,patch
height>0,patch
depth>0,x0,y0,z0,
x1,
y1,
z1,...,
xN,
yN,
zN
Extract N+1 patches from selected images, centered at specified locations.
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232
CHAPTER 2. LIST OF COMMANDS
Example 381 : image.jpg --patches 64,64,1,153,124,0,184,240,0,217,126,0,275,38,0
2.9.25 -patchmatch (+)
Arguments:
• [patch
image],patch
width>=1,
patch
height>=1,
patch
depth>=1,
nb
iterations>=0,
nb
randoms>=0,
output
score={ 0
| 1
},
[guide]
Estimate correspondence map between selected images and specified patch image, using the patchmatch
algorithm, as describedin the paper : ”PatchMatch: ARandomizedCorrespondenceAlgorithm for Structural
Image Editing”, by
Connelly Barnes, Eli Shechtman, Adam Finkelstein, Dan B Goldman(2009).
Each pixel of the returned correspondence map gives the location (p,q) of the closest patch in the specified
patch image. If ’output
score=1’, the third channelgives the corresponding matching score for eachpatch as
well.
Default values:
• ’patch
height=patch
width’, ’patch
depth=1’, ’nb
iterations=5’,
’nb
randoms=5’, ’output
score=0’ and ’guide=(undefined)’.
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2.9. FEATURES EXTRACTION
233
Example382 :image.jpg -testimage2d 320 --patchmatch[0] [1],3 --warp..
[-1],0
2.9.26 -plot2value
Retrieve values from selected 2d graph plots.
Example383 :400,300,1,1,’if(y>300
*
abs(cos(x/10+2
*
u)),1,0)’ --plot2value --display
graph.
400,300
2.9.27 -pointcloud
Arguments:
type = { -X=-X-opacity
| 0=binary
| 1=cumulative
| 2=label
},
width,
height>0,
depth>0
Convert a Nx1, Nx2, Nx3 or NxM image as a point cloud in a 1d/2dor 3dbinary image.
If ’M’>3, the 3-to-M lines sets the (M-3)-dimensional color at each point.
Parameters ’width’,’height’ and ’depth’ are related to the size of the final image : - If set to 0, the size is
automatically set along the specified axis. - If set to N>0, the size along the specified axis is N. - If set to
N<0, the size along the specified axis is at most N.
Points with coordinates that are negative or higher than specified (’width’,’height’,’depth’) are not plotted.
Default values:
• ’type=0’ and ’max
width=max
height=max
depth=0’.
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234
CHAPTER 2. LIST OF COMMANDS
Example 384 : 3000,2 -rand 0,400 --pointcloud 0 -dilate.
3
Example385: 3000,2 -rand 0,400 {w} {w},3 -rand.
0,255 -append y --pointcloud 0 -dilate.
3
2.9.28 -psnr
Arguments:
max
value
Compute PSNR (Peak Signal-to-Noise Ratio) matrix between selected images.
Default value:
• ’max
value=255’.
Example386 :image.jpg --noise 30 --noise[0] 35 --noise[0] 38 -cut.
0,255 -psnr 255
-replace
inf 0
2.9.29 -segment
watershed
Arguments:
threshold>=0
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2.9. FEATURES EXTRACTION
235
Apply watershed segmentation on selected images.
Default values:
• ’threshold=2’.
Example 387 : image.jpg --segment
watershed 2
2.9.30 -skeleton
Arguments:
smoothness[%]>=0
Compute skeleton of binary shapes using distance transform.
Default value:
• ’smoothness=0’.
Example388 : image.jpg -threshold 50% --skeleton 0
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236
CHAPTER 2. LIST OF COMMANDS
2.9.31 -ssd
patch
Arguments:
• [patch],
use
fourier={ 0
| 1 },
boundary
conditions={ 0=dirichlet
| 1=neumann }
Compute fields of SSD between selectedimages and specifiedpatch.
Argument ’boundary
conditions’ is valid only when ’use
fourier=0’.
Default value:
• ’use
fourier=0’ and ’boundary
conditions=0’.
Example389 : image.jpg --crop 20%,20%,35%,35% --ssd
patch[0] [1],0,0
2.9.32 -thinning
Compute skeleton of binary shapes using morphological thinning
(This is a quite slow iterative proces)
Example 390 : image.jpg -threshold 50% --thinning
2.9.33 -tones
Arguments:
2.9. FEATURES EXTRACTION
237
• N>0
Get N tones masks from selected images.
Example 391 : image.jpg --tones 3
2.9.34 -topographic
map
Arguments:
nb
levels>0,
smoothness
Render selected images as topographic maps.
Default values:
• ’nb
levels=16’ and ’smoothness=2’.
Example392 :image.jpg --topographic
map 10
2.9.35 -variance
patch
Arguments:
238
CHAPTER 2. LIST OF COMMANDS
patch
size>=1
Compute variance of each images patch centered at (x,y), in selected images.
Default value:
• ’patch
size=16’
Example 393 : image.jpg --variance
patch
2.10 Image drawing
2.10.1 -arrow
Arguments:
• x0[%],y0[%],x1[%],y1[%],
thickness[%]>=0,
head
length[%]>=0,-
head
thickness[%]>=0,
opacity,
pattern,
color1,...
Draw specified arrow on selected images.
’pattern’ is an hexadecimal number starting with ’0x’ which can be omitted even if a color is specified. If a
pattern is specified, the arrow is drawn outlined instead of filled.
Default values:
• ’thickness=1%’, ’head
length=10%’, ’head
thickness=3%’, ’opacity=1’,
’pattern=(undefined)’ and ’color1=0’.
2.10. IMAGE DRAWING
239
Example 394 : 400,400,1,3 -repeat 100 -arrow 50%,50%,{u(100)}%,{u(100)}%,3,20,10,0.3,${-RGB}
-done
2.10.2 -axes
Arguments:
• x0,x1,y0,y1,
font
height>=0,
opacity,
pattern,
color1,...
Draw xy-axes on selected images.
’pattern’ is an hexadecimal number starting with ’0x’ which can be omitted even if a color is specified.
To draw only one x-axis at row Y, set both ’y0’ and ’y1’ to Y.
To draw only one y-axis at column X, set both ’x0’ and ’x1’ to X.
Default values:
• ’font
height=14’, ’opacity=1’, ’pattern=(undefined)’ and ’color1=0’.
Example395 : 400,400,1,3,255 -axes -1,1,1,-1
2.10.3 -ball
Arguments:
240
CHAPTER 2. LIST OF COMMANDS
size>0,
R,
G,
B,0<=
specular
light<=8,0<=
specular
size<=8,
shadow>=0
Input a 2d RGBA colored ball sprite.
Default values:
• ’size=64’, ’R=255’, ’G=R’, ’B=R’, ’specular
light=0.8’, ’specular
size=1’ and
’shading=1.5’.
Example 396 : -repeat 9 -ball {1.5ˆ($>+2)},${-RGB} -done -append x
2.10.4 -chessboard
Arguments:
• size1>0,
size2>0,
offset1,
offset2,
angle,
opacity,
color1,..,
color2,..
Draw chessboard on selected images.
Default values:
• ’size2=size1’, ’offset1=offset2=0’, ’angle=0’, ’opacity=1’, ’color1=0’ and
’color2=255’.
Example397 : image.jpg -chessboard 32,32,0,0,25,0.3,255,128,0,0,128,255
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