--- /srv/reproducible-results/rbuild-debian/r-b-build.LFU6Q6wK/b1/mia_2.4.7-11_i386.changes +++ /srv/reproducible-results/rbuild-debian/r-b-build.LFU6Q6wK/b2/mia_2.4.7-11_i386.changes ├── Files │ @@ -1,9 +1,9 @@ │ │ ae459ff650137becebe13f5ee001eda4 88352280 debug optional libmia-2.4-4-dbgsym_2.4.7-11_i386.deb │ 0ca3b6bae78878a732afb31f4a1f4d13 4806900 libs optional libmia-2.4-4_2.4.7-11_i386.deb │ 499733ea20e095eb7eb62de9d954ad8e 204528 libdevel optional libmia-2.4-dev_2.4.7-11_i386.deb │ 73502d80793e9b4b7cc45b560f4aca89 4768804 doc optional libmia-2.4-doc_2.4.7-11_all.deb │ 9c7486d4c060693bc4439c1adbaf0331 26168 science optional mia-doctools_2.4.7-11_all.deb │ f292cda8085548bb86e8b918e81a6f27 35724768 debug optional mia-tools-dbgsym_2.4.7-11_i386.deb │ - 0b1e1ee1dac66eeacb5d668583b36ea0 96284 doc optional mia-tools-doc_2.4.7-11_all.deb │ - 0fd46c1de312012b23ea7e11d6a20578 1940840 science optional mia-tools_2.4.7-11_i386.deb │ + 8b6e0f131ebef9d2aabb92d715dcb196 96276 doc optional mia-tools-doc_2.4.7-11_all.deb │ + d78de26dfd8c10599cd69514bb225bf2 1941168 science optional mia-tools_2.4.7-11_i386.deb ├── mia-tools-doc_2.4.7-11_all.deb │ ├── file list │ │ @@ -1,3 +1,3 @@ │ │ -rw-r--r-- 0 0 0 4 2022-08-17 13:27:13.000000 debian-binary │ │ --rw-r--r-- 0 0 0 5944 2022-08-17 13:27:13.000000 control.tar.xz │ │ --rw-r--r-- 0 0 0 90148 2022-08-17 13:27:13.000000 data.tar.xz │ │ +-rw-r--r-- 0 0 0 5948 2022-08-17 13:27:13.000000 control.tar.xz │ │ +-rw-r--r-- 0 0 0 90136 2022-08-17 13:27:13.000000 data.tar.xz │ ├── control.tar.xz │ │ ├── control.tar │ │ │ ├── ./md5sums │ │ │ │ ├── ./md5sums │ │ │ │ │┄ Files differ │ ├── data.tar.xz │ │ ├── data.tar │ │ │ ├── ./usr/share/doc/mia-2.4/userref/SecPlugintype2dimagefilter.html │ │ │ │ @@ -93,19 +93,19 @@ │ │ │ │
│ │ │ │
2D masking, one of the two input images must by of type bit.. Supported parameters are:
Name | Type | Default | Description | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
fill | dict | min |
| ||||||||
input | io | (required,input) | second input image file name. For supported file types see Plugin type: 2dimage/io | ||||||||
inverse | bool | 0 | set to true to use the inverse of the mask for masking |
│ │ │ │
│ │ │ │
This filter implements the uses the max-flow min-cut algorithmfor image segmentation. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
sink-flow | io | (required,input) | Image of float type to define the per-pixel flow to the sink. For supported file types see Plugin type: 2dimage/io |
source-flow | io | (required,input) | Image of float type to define the per-pixel flow to the source. For supported file types see Plugin type: 2dimage/io |
│ │ │ │
│ │ │ │
2D image mean filter. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
w | int in [1, inf) | 1 | half filter width |
│ │ │ │
│ │ │ │ -
Filter that evaluates simultaniously the pixel wise mean and the variance of an image in a given window. Pixel intensities below the given threshold will be ignored and at their loctions the output mean and variation are set to zero. The mean intensity image is directly passed as float image to the pipeline, the variation image is saved to a file given with the varfile parameter.. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
thresh | double in [0, inf) | 0 | Intensity thresholding parameter: Pixels with intensities below this threshold will be set to zero, and also not used when evaluating mean and variation |
varfile | io | (output,required) | name of the output file to save the variation image too.. For supported file types see Plugin type: 2dimage/io |
w | uint in [1, inf) | 1 | filter width parameter |
│ │ │ │ +
Filter that evaluates simultaniously the pixel wise mean and the variance of an image in a given window. Pixel intensities below the given threshold will be ignored and at their loctions the output mean and variation are set to zero. The mean intensity image is directly passed as float image to the pipeline, the variation image is saved to a file given with the varfile parameter.. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
thresh | double in [0, inf) | 0 | Intensity thresholding parameter: Pixels with intensities below this threshold will be set to zero, and also not used when evaluating mean and variation |
varfile | io | (required,output) | name of the output file to save the variation image too.. For supported file types see Plugin type: 2dimage/io |
w | uint in [1, inf) | 1 | filter width parameter |
│ │ │ │
│ │ │ │
2D image median filter. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
w | int in [1, inf) | 1 | half filter width |
│ │ │ │
│ │ │ │ -
Filter that evaluates simultaniously the pixel wise median and the median absolute deviation (MAD) of an image in a given window. Pixel intensities below the given threshold will be ignored and at their loctions the output median and MAD are set to zero. The median intensity image is directly passed to the pipeline, the variation image is saved to a file given with the varfile parameter. Both output images have the same pixel type like the input image.. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
madfile | io | (output,required) | name of the output file to save the median absolute deviation image too.. For supported file types see Plugin type: 2dimage/io |
thresh | double in [0, inf) | 0 | Intensity thresholding parameter: Pixels with intensities below this threshold will be set to zero, and also not used when evaluating mean and variation |
w | uint in [1, inf) | 1 | filter width parameter |
│ │ │ │ +
Filter that evaluates simultaniously the pixel wise median and the median absolute deviation (MAD) of an image in a given window. Pixel intensities below the given threshold will be ignored and at their loctions the output median and MAD are set to zero. The median intensity image is directly passed to the pipeline, the variation image is saved to a file given with the varfile parameter. Both output images have the same pixel type like the input image.. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
madfile | io | (required,output) | name of the output file to save the median absolute deviation image too.. For supported file types see Plugin type: 2dimage/io |
thresh | double in [0, inf) | 0 | Intensity thresholding parameter: Pixels with intensities below this threshold will be set to zero, and also not used when evaluating mean and variation |
w | uint in [1, inf) | 1 | filter width parameter |
│ │ │ │
│ │ │ │
Mean of Least Variance 2D image filter. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
w | int in [1, inf) | 1 | filter width parameter |
│ │ │ │
│ │ │ │
│ │ │ │
│ │ │ │
2D image noise filter: add additive or modulated noise to an image. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
g | factory | [gauss:mu=0,sigma=10] | noise generator. For supported plug-ins see Plugin type: generator/noise |
mod | bool | 0 | additive or modulated noise |
│ │ │ │
│ │ │ │ @@ -127,15 +127,15 @@ │ │ │ │
│ │ │ │
The 2D Sobel filter for gradient evaluation. Note that the output pixel type of the filtered image is the same as the input pixel type, so converting the input beforehand to a floating point valued image is recommendable.. Supported parameters are:
Name | Type | Default | Description | ||||||
---|---|---|---|---|---|---|---|---|---|
dir | dict | x |
|
│ │ │ │
│ │ │ │
This plug-in sorts the labels of a gray-scale image so that the lowest label value corresponts to the lable with themost pixels. The background (0) is not touched. (This plug-in doesn't take parameters)
│ │ │ │
│ │ │ │
seeded watershead. The algorithm extracts exactly so many reagions as initial labels are given in the seed image.. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
grad | bool | 0 | Interpret the input image as gradient. |
mark | bool | 0 | Mark the segmented watersheds with a special gray scale value |
n | factory | [sphere:r=1] | Neighborhood for watershead region growing. For supported plug-ins see Plugin type: 2dimage/shape |
seed | string | (required,input) | seed input image containing the lables for the initial regions |
│ │ │ │
│ │ │ │ -
Save the input image to a file and also pass it through to the next filter. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
file | io | (output,required) | name of the output file to save the image too.. For supported file types see Plugin type: 2dimage/io |
│ │ │ │ +
Save the input image to a file and also pass it through to the next filter. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
file | io | (required,output) | name of the output file to save the image too.. For supported file types see Plugin type: 2dimage/io |
│ │ │ │
│ │ │ │
Morphological thinning. Thinning until convergence will result in a 8-connected skeleton. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
iter | int in [1, 1000000] | 0 | Number of iterations to run, 0=until convergence |
│ │ │ │
│ │ │ │
This filter sets all pixels of an image to zero that fall below a certain threshold and whose neighbours in a given neighborhood shape also fall below a this threshold. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
shape | factory | 4n | neighborhood shape to take into account. For supported plug-ins see Plugin type: 2dimage/shape |
thresh | double | 5 | The threshold value |
│ │ │ │
│ │ │ │
2D image thresholded tmean filter: The output pixel value is zero if the input pixel value is below the given threshold, otherwise the pixels in the evaluation windows are only considered if the input pixel intensity is above the threshold.. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
t | float | 0 | Threshold for pixels not to take into account |
w | int in [1, inf) | 1 | half filter width |
│ │ │ │
│ │ │ │ ├── html2text {} │ │ │ │ │ @@ -239,15 +239,15 @@ │ │ │ │ │ |__Name_|__________Type____|_______Default___|_______________Description______| │ │ │ │ │ |thresh |double in [0, inf)| 0 |Intensity thresholding | │ │ │ │ │ | | | |parameter: Pixels with | │ │ │ │ │ | | | |intensities below this threshold| │ │ │ │ │ | | | |will be set to zero, and also | │ │ │ │ │ | | | |not used when evaluating mean | │ │ │ │ │ |_______|__________________|_________________|and_variation___________________| │ │ │ │ │ -|varfile| io |(output,required)|name of the output file to save | │ │ │ │ │ +|varfile| io |(required,output)|name of the output file to save | │ │ │ │ │ | | | |the variation image too.. For | │ │ │ │ │ | | | |supported file types see Plugin | │ │ │ │ │ |_______|__________________|_________________|type:_2dimage/io________________| │ │ │ │ │ |____w__|_uint_in_[1,_inf)_|____________1____|filter_width_parameter__________| │ │ │ │ │ median │ │ │ │ │ 2D image median filter. Supported parameters are: │ │ │ │ │ ______________________________________________ │ │ │ │ │ @@ -259,15 +259,15 @@ │ │ │ │ │ the given threshold will be ignored and at their loctions the output median and │ │ │ │ │ MAD are set to zero. The median intensity image is directly passed to the │ │ │ │ │ pipeline, the variation image is saved to a file given with the varfile │ │ │ │ │ parameter. Both output images have the same pixel type like the input image.. │ │ │ │ │ Supported parameters are: │ │ │ │ │ _____________________________________________________________________________ │ │ │ │ │ |__Name_|__________Type____|_______Default___|_______________Description______| │ │ │ │ │ -|madfile| io |(output,required)|name of the output file to save | │ │ │ │ │ +|madfile| io |(required,output)|name of the output file to save | │ │ │ │ │ | | | |the median absolute deviation | │ │ │ │ │ | | | |image too.. For supported file | │ │ │ │ │ | | | |types see Plugin_type:_2dimage/ | │ │ │ │ │ |_______|__________________|_________________|io______________________________| │ │ │ │ │ |thresh |double in [0, inf)| 0 |Intensity thresholding | │ │ │ │ │ | | | |parameter: Pixels with | │ │ │ │ │ | | | |intensities below this threshold| │ │ │ │ │ @@ -380,15 +380,15 @@ │ │ │ │ │ |seed|string |(required,input)|seed input image containing the lables for the | │ │ │ │ │ |____|_______|________________|initial_regions________________________________| │ │ │ │ │ tee │ │ │ │ │ Save the input image to a file and also pass it through to the next filter. │ │ │ │ │ Supported parameters are: │ │ │ │ │ ___________________________________________________________________________ │ │ │ │ │ |Name|Type|_______Default___|___________________________Description_________| │ │ │ │ │ -|file| io |(output,required)|name of the output file to save the image too..| │ │ │ │ │ +|file| io |(required,output)|name of the output file to save the image too..| │ │ │ │ │ | | | |For supported file types see Plugin_type: | │ │ │ │ │ |____|____|_________________|2dimage/io_____________________________________| │ │ │ │ │ thinning │ │ │ │ │ Morphological thinning. Thinning until convergence will result in a 8-connected │ │ │ │ │ skeleton. Supported parameters are: │ │ │ │ │ _____________________________________________________________________ │ │ │ │ │ |Name|___________Type____|Default|__________________Description_______| │ │ │ ├── ./usr/share/doc/mia-2.4/userref/SecPlugintype3dimagefilter.html │ │ │ │ @@ -111,15 +111,15 @@ │ │ │ │
│ │ │ │
3D image intensity separaple convolution filter. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
kx | factory | [gauss:w=1] | filter kernel in x-direction. For supported plug-ins see Plugin type: 1d/spacialkernel |
ky | factory | [gauss:w=1] | filter kernel in y-direction. For supported plug-ins see Plugin type: 1d/spacialkernel |
kz | factory | [gauss:w=1] | filter kernel in z-direction. For supported plug-ins see Plugin type: 1d/spacialkernel |
│ │ │ │
│ │ │ │
The 2D Sobel filter for gradient evaluation. Note that the output pixel type of the filtered image is the same as the input pixel type, so converting the input beforehand to a floating point valued image is recommendable.. Supported parameters are:
Name | Type | Default | Description | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
dir | dict | x |
|
│ │ │ │
│ │ │ │
seeded watershead. The algorithm extracts exactly so many reagions as initial labels are given in the seed image.. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
grad | bool | 0 | Interpret the input image as gradient. |
mark | bool | 0 | Mark the segmented watersheds with a special gray scale value |
n | factory | [sphere:r=1] | Neighborhood for watershead region growing. For supported plug-ins see Plugin type: 3dimage/shape |
seed | string | (required,input) | seed input image containing the lables for the initial regions |
│ │ │ │
│ │ │ │ -
Save the input image to a file and also pass it through to the next filter. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
file | io | (output,required) | name of the output file to save the image too.. For supported file types see Plugin type: 3dimage/io |
│ │ │ │ +
Save the input image to a file and also pass it through to the next filter. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
file | io | (required,output) | name of the output file to save the image too.. For supported file types see Plugin type: 3dimage/io |
│ │ │ │
│ │ │ │
3D morphological thinning, based on: Lee and Kashyap, 'Building Skeleton Models via 3-D Medial Surface/Axis Thinning Algorithms', Graphical Models and Image Processing, 56(6):462-478, 1994. This implementation only supports the 26 neighbourhood.. (This plug-in doesn't take parameters)
│ │ │ │
│ │ │ │
Transform the input image with the given transformation.. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
file | io | (required,input) | Name of the file containing the transformation.. For supported file types see Plugin type: 3dtransform/io |
imgboundary | factory | override image interpolation boundary conditions. For supported plug-ins see Plugin type: 1d/splinebc | |
imgkernel | factory | override image interpolator kernel. For supported plug-ins see Plugin type: 1d/splinekernel |
│ │ │ │
│ │ │ │
3D image variance filter. Supported parameters are:
Name | Type | Default | Description |
---|---|---|---|
w | int in [1, inf) | 1 | half filter width |
│ │ │ │
│ │ │ │ ├── html2text {} │ │ │ │ │ @@ -337,15 +337,15 @@ │ │ │ │ │ |seed|string |(required,input)|seed input image containing the lables for the | │ │ │ │ │ |____|_______|________________|initial_regions________________________________| │ │ │ │ │ tee │ │ │ │ │ Save the input image to a file and also pass it through to the next filter. │ │ │ │ │ Supported parameters are: │ │ │ │ │ ___________________________________________________________________________ │ │ │ │ │ |Name|Type|_______Default___|___________________________Description_________| │ │ │ │ │ -|file| io |(output,required)|name of the output file to save the image too..| │ │ │ │ │ +|file| io |(required,output)|name of the output file to save the image too..| │ │ │ │ │ | | | |For supported file types see Plugin_type: | │ │ │ │ │ |____|____|_________________|3dimage/io_____________________________________| │ │ │ │ │ thinning │ │ │ │ │ 3D morphological thinning, based on: Lee and Kashyap, 'Building Skeleton Models │ │ │ │ │ via 3-D Medial Surface/Axis Thinning Algorithms', Graphical Models and Image │ │ │ │ │ Processing, 56(6):462-478, 1994. This implementation only supports the 26 │ │ │ │ │ neighbourhood.. (This plug-in doesn't take parameters) │ │ │ ├── ./usr/share/doc/mia-2.4/userref/Secmia2dbinarycombine.html │ │ │ │ @@ -1,3 +1,3 @@ │ │ │ │
mia-2dbinarycombine
{-1 io
} {-2 io
} {-o io
} [
│ │ │ │ options
│ │ │ │ - ...]
This program is used to combine two binary images by some kind of operation.
input mask image 1. For supported file types see Plugin type: 2dimage/io
input mask image 2. For supported file types see Plugin type: 2dimage/io
output mask image. For supported file types see Plugin type: 2dimage/io
Operation to be applied
or: | logocal or |
nor: | logocal nor |
and: | logocal and |
nand: | logocal nand |
xor: | logocal xor |
nxor: | logocal nxor |
verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:
trace: | Function call trace |
debug: | Debug output |
info: | Low level messages |
message: | Normal messages |
warning: | Warnings |
fail: | Report test failures |
error: | Report errors |
fatal: | Report only fatal errors |
print copyright information
print this help
print a short help
print the version number and exit
Maxiumum number of threads to use for processing,This number should be lower or equal to the number of logical processor cores in the machine. (-1: automatic estimation).
Combine the binary images b1.png and b2.png by using the 'nor' operation and store the result in b1nor2.png.
mia-2dbinarycombine -1 b1.png -2 b2.png -p nor -o b1nor2.png
Gert Wollny
This program is used to combine two binary images by some kind of operation.
input mask image 1. For supported file types see Plugin type: 2dimage/io
input mask image 2. For supported file types see Plugin type: 2dimage/io
output mask image. For supported file types see Plugin type: 2dimage/io
Operation to be applied
or: | logocal or |
nor: | logocal nor |
and: | logocal and |
nand: | logocal nand |
xor: | logocal xor |
nxor: | logocal nxor |
verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:
trace: | Function call trace |
debug: | Debug output |
info: | Low level messages |
message: | Normal messages |
warning: | Warnings |
fail: | Report test failures |
error: | Report errors |
fatal: | Report only fatal errors |
print copyright information
print this help
print a short help
print the version number and exit
Maxiumum number of threads to use for processing,This number should be lower or equal to the number of logical processor cores in the machine. (-1: automatic estimation).
Combine the binary images b1.png and b2.png by using the 'nor' operation and store the result in b1nor2.png.
mia-2dbinarycombine -1 b1.png -2 b2.png -p nor -o b1nor2.png
Gert Wollny