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2.8. FILTERING
181
2.8.25 -deinterlace
Arguments:
method={ 0
| 1 }
Deinterlace selected images (’method’ can be { 0=standard or 1=motion-compensated }).
Default value:
• ’method=0’.
Example 294 : image.jpg --rotate 3,1,1,50%,50% -resize 100%,50% -resize 100%,200%,1,3,4
-shift.
0,1 -add --deinterlace 1
2.8.26 -denoise (+)
Arguments:
• std
variation
s>=0,
std
variation
p>=0,
patch
size>0,
lookup
size>0,
smoothness,
fast
approx={ 0
| 1
}
Denoise selected images by non-local patch averaging.
Default values:
• ’std
variation
p=10’, ’patch
size=5’, ’lookup
size=6’ and ’smoothness=1’.
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182
CHAPTER 2. LIST OF COMMANDS
Example 295 : image.jpg --denoise 5,5,8
2.8.27 -denoise
haar
Arguments:
threshold>=0,
nb
scales>=0,
cycle
spinning>0
Denoise selected image using haar-wavelet thresholding with cycle spinning.
Set ’nb
scales==0’ to automatically determine the optimal number of scales.
Default values:
• ’threshold=1.4’, ’nb
scale=0’ and ’cycle
spinning=10’.
Example296 : image.jpg -noise 20 -c 0,255 --denoise
haar.
0.8
2.8.28 -denoise
patchpca
Arguments:
strength>=0,
patch
size>0,
lookup
size>0,
spatial
sampling>0
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2.8. FILTERING
183
Denoise selected images using the patch-pca algorithm.
Default values:
• ’patch
size=7’, ’lookup
size=11’, ’details=1.8’ and ’spatial
sampling=5’.
Example297 : image.jpg --noise 20 -c.
0,255 --denoise
patchpca.
,
2.8.29 -deriche (+)
Arguments:
• std
variation>=0[%],order={ 0
| 1
| 2 },axis={ x
| y
| z
| c
},
boundary
Apply Deriche recursive filter onselectedimages, along specified axis and with specified standard deviation,
order and boundary conditions.
’boundary’ can be { 0=dirichlet | 1=neumann }.
Default value:
• ’boundary=1’.
Example 298 : image.jpg --deriche 3,1,x
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184
CHAPTER 2. LIST OF COMMANDS
Example 299: image.jpg --deriche 30,0,x -deriche..
30,0,y -add
Tutorial page:
http://gmic.eu/tutorial/_deriche.shtml
2.8.30 -dilate (+)
Arguments:
• size>=0
• size
x>=0,size
y>=0,size
z>=0
• [mask],
boundary,
is
normalized={ 0
| 1 }
Dilate selectedimages by a rectangular or the specified structuring element.
’boundary’ can be { 0=dirichlet | 1=neumann }.
Default values:
• ’size
z=1’, ’boundary=1’ and ’is
normalized=0’.
Example300 : image.jpg --dilate 10
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2.8. FILTERING
185
2.8.31 -dilate
circ
Arguments:
size>=0,
boundary,
is
normalized={ 0
| 1 }
Apply circular dilation of selected image by specified size.
Default values:
• ’boundary=1’ and ’is
normalized=0’.
Example 301 : image.jpg --dilate
circ 7
2.8.32 -dilate
oct
Arguments:
size>=0,
boundary,
is
normalized={ 0
| 1 }
Apply octagonal dilation of selectedimage by specified size.
Default values:
• ’boundary=1’ and ’is
normalized=0’.
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186
CHAPTER 2. LIST OF COMMANDS
Example302 :image.jpg --dilate
oct 7
2.8.33 -dilate
threshold
Arguments:
• size
x>=1,size
y>=1,size
z>=1,
threshold>=0,
boundary
Dilate selectedimages in the (X,Y,Z,I) space.
’boundary’ can be { 0=dirichlet | 1=neumann }.
Default values:
• ’size
y=size
x’, ’size
z=1’, ’threshold=255’ and ’boundary=1’.
2.8.34 -divergence
Compute divergence of selected vector fields.
Example 303 : image.jpg -luminance --gradient -append[-2,-1] c -divergence.
2.8.35 -dog
Arguments:
sigma1>=0[%],
sigma2>=0[%]
Compute difference of gaussian on selected images.
Default values:
• ’sigma1=2%’ and ’sigma2=3%’.
2.8. FILTERING
187
Example 304 : image.jpg --dog 2,3
2.8.36 -diffusiontensors
Arguments:
sharpness>=0,0<=
anisotropy<=1,
alpha[%],
sigma[%],is
sqrt={ 0
| 1 }
Compute the diffusion tensors of selected images for edge-preserving smoothing algorithms.
Default values:
• ’sharpness=0.7’, ’anisotropy=0.3’, ’alpha=0.6’, ’sigma=1.1’ and ’is
sqrt=0’.
Example 305 : image.jpg -diffusiontensors 0.8 -abs -pow 0.2
Tutorial page:
http://gmic.eu/tutorial/_diffusiontensors.shtml
188
CHAPTER 2. LIST OF COMMANDS
2.8.37 -edges
Arguments:
threshold[%]>=0
Estimate contours of selected images.
Default value:
• ’edges=15%’
Example306 : image.jpg --edges 15%
2.8.38 -erode (+)
Arguments:
• size>=0
• size
x>=0,size
y>=0,
size
z>=0
• [mask],
boundary,
is
normalized={ 0
| 1 }
Erode selected images by a rectangular or the specified structuring element.
’boundary’ can be { 0=dirichlet | 1=neumann }.
Default values:
• ’size
z=1’, ’boundary=1’ and ’is
normalized=0’.
2.8. FILTERING
189
Example 307 : image.jpg --erode 10
2.8.39 -erode
circ
Arguments:
size>=0,
boundary,
is
normalized={ 0
| 1 }
Apply circular erosion of selected images byspecified size.
Default values:
• ’boundary=1’ and ’is
normalized=0’.
Example308 :image.jpg --erode
circ 7
2.8.40 -erode
oct
Arguments:
size>=0,
boundary,
is
normalized={ 0
| 1 }
Apply octagonal erosion of selected images by specified size.
190
CHAPTER 2. LIST OF COMMANDS
Default values:
• ’boundary=1’ and ’is
normalized=0’.
Example309 : image.jpg --erode
oct 7
2.8.41 -erode
threshold
Arguments:
• size
x>=1,size
y>=1,size
z>=1,
threshold>=0,
boundary
Erode selected images in the (X,Y,Z,I) space.
’boundary’ can be { 0=dirichlet | 1=neumann }.
Default values:
• ’size
y=size
x’, ’size
z=1’, ’threshold=255’ and ’boundary=1’.
2.8.42 -fft (+)
Arguments:
{ x
| y
| z }..{ x
| y
| z }
Compute the direct fourier transform (real and imaginary parts) of selected images, optionally along the
specified axes only.
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