--- /srv/reproducible-results/rbuild-debian/r-b-build.6RaOzVGr/b1/mia_2.4.7-13.1~exp1_i386.changes +++ /srv/reproducible-results/rbuild-debian/r-b-build.6RaOzVGr/b2/mia_2.4.7-13.1~exp1_i386.changes ├── Files │ @@ -1,9 +1,9 @@ │ │ 3b2620bc11605cc679ceace0f4c3ea8c 86957844 debug optional libmia-2.4-4t64-dbgsym_2.4.7-13.1~exp1_i386.deb │ 830e0cabd755172a71ed6169704d9de5 4866568 libs optional libmia-2.4-4t64_2.4.7-13.1~exp1_i386.deb │ a210c8b8b4b454af50086f6ab4b3dab4 205420 libdevel optional libmia-2.4-dev_2.4.7-13.1~exp1_i386.deb │ c4b079eaac3de376ad861daed04dd0dd 7069692 doc optional libmia-2.4-doc_2.4.7-13.1~exp1_all.deb │ a711f21d7073b30c23e5b86db037c88a 26432 science optional mia-doctools_2.4.7-13.1~exp1_all.deb │ 18f93c6b8880dc7ab37d86f9c2025ca3 34862312 debug optional mia-tools-dbgsym_2.4.7-13.1~exp1_i386.deb │ - 463b7e82a90e6436a99d3606e35ab344 96516 doc optional mia-tools-doc_2.4.7-13.1~exp1_all.deb │ - 719b3ad894fbde2bdd2e89b121968920 1923056 science optional mia-tools_2.4.7-13.1~exp1_i386.deb │ + 794777f937e04795208477c5f68c576d 96516 doc optional mia-tools-doc_2.4.7-13.1~exp1_all.deb │ + 707c9f4b9fb03d3a9393e0908d87e938 1923852 science optional mia-tools_2.4.7-13.1~exp1_i386.deb ├── mia-tools-doc_2.4.7-13.1~exp1_all.deb │ ├── file list │ │ @@ -1,3 +1,3 @@ │ │ -rw-r--r-- 0 0 0 4 2024-02-03 21:20:55.000000 debian-binary │ │ --rw-r--r-- 0 0 0 5952 2024-02-03 21:20:55.000000 control.tar.xz │ │ --rw-r--r-- 0 0 0 90372 2024-02-03 21:20:55.000000 data.tar.xz │ │ +-rw-r--r-- 0 0 0 5948 2024-02-03 21:20:55.000000 control.tar.xz │ │ +-rw-r--r-- 0 0 0 90376 2024-02-03 21:20:55.000000 data.tar.xz │ ├── control.tar.xz │ │ ├── control.tar │ │ │ ├── ./md5sums │ │ │ │ ├── ./md5sums │ │ │ │ │┄ Files differ │ │ ├── xz --list │ │ │ @@ -1,13 +1,13 @@ │ │ │ Streams: 1 │ │ │ Blocks: 1 │ │ │ - Compressed size: 5952 B │ │ │ + Compressed size: 5948 B │ │ │ Uncompressed size: 30.0 KiB (30720 B) │ │ │ Ratio: 0.194 │ │ │ Check: CRC64 │ │ │ Stream Padding: 0 B │ │ │ Streams: │ │ │ Stream Blocks CompOffset UncompOffset CompSize UncompSize Ratio Check Padding │ │ │ - 1 1 0 0 5952 30720 0.194 CRC64 0 │ │ │ + 1 1 0 0 5948 30720 0.194 CRC64 0 │ │ │ Blocks: │ │ │ Stream Block CompOffset UncompOffset TotalSize UncompSize Ratio Check │ │ │ - 1 1 12 0 5916 30720 0.193 CRC64 │ │ │ + 1 1 12 0 5912 30720 0.192 CRC64 │ ├── 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 | (input,required) | 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 | (input,required) | 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 | (input,required) | 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 | (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 |
│ │ │ │ +
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 |
│ │ │ │
│ │ │ │
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 | (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 |
│ │ │ │ +
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 |
│ │ │ │
│ │ │ │
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 | (input,required) | 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 | (required,output) | 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 | (output,required) | 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 @@ │ │ │ │ │ |_ _ _NN_aa_mm_ee_ _|_ _ _ _ _ _ _ _ _ _ _TT_yy_pp_ee_ _ _ _ _|_ _ _ _ _ _ _ _DD_ee_ff_aa_uu_ll_tt_ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _DD_ee_ss_cc_rr_ii_pp_tt_ii_oo_nn_ _ _ _ _ _ | │ │ │ │ │ |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 | │ │ │ │ │ |_ _ _ _ _ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _|_a_n_d_ _v_a_r_i_a_t_i_o_n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | │ │ │ │ │ -|varfile| io |(required,output)|name of the output file to save | │ │ │ │ │ +|varfile| io |(output,required)|name of the output file to save | │ │ │ │ │ | | | |the variation image too.. For | │ │ │ │ │ | | | |supported file types see _P_l_u_g_i_n | │ │ │ │ │ |_ _ _ _ _ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _|_t_y_p_e_:_ _2_d_i_m_a_g_e_/_i_o_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | │ │ │ │ │ |_ _ _ _ _w_ _ _|_ _u_i_n_t_ _i_n_ _[_1_,_ _i_n_f_)_ _|_ _ _ _ _ _ _ _ _ _ _ _ _1_ _ _ _ _|_f_i_l_t_e_r_ _w_i_d_t_h_ _p_a_r_a_m_e_t_e_r_ _ _ _ _ _ _ _ _ _ | │ │ │ │ │ mmeeddiiaann │ │ │ │ │ 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: │ │ │ │ │ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ │ │ │ │ │ |_ _ _NN_aa_mm_ee_ _|_ _ _ _ _ _ _ _ _ _ _TT_yy_pp_ee_ _ _ _ _|_ _ _ _ _ _ _ _DD_ee_ff_aa_uu_ll_tt_ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _DD_ee_ss_cc_rr_ii_pp_tt_ii_oo_nn_ _ _ _ _ _ | │ │ │ │ │ -|madfile| io |(required,output)|name of the output file to save | │ │ │ │ │ +|madfile| io |(output,required)|name of the output file to save | │ │ │ │ │ | | | |the median absolute deviation | │ │ │ │ │ | | | |image too.. For supported file | │ │ │ │ │ | | | |types see _P_l_u_g_i_n_ _t_y_p_e_:_ _2_d_i_m_a_g_e_/ | │ │ │ │ │ |_ _ _ _ _ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _|_i_o_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | │ │ │ │ │ |thresh |double in [0, inf)| 0 |Intensity thresholding | │ │ │ │ │ | | | |parameter: Pixels with | │ │ │ │ │ | | | |intensities below this threshold| │ │ │ │ │ @@ -380,15 +380,15 @@ │ │ │ │ │ |seed|string |(input,required)|seed input image containing the lables for the | │ │ │ │ │ |_ _ _ _ _|_ _ _ _ _ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _|_i_n_i_t_i_a_l_ _r_e_g_i_o_n_s_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | │ │ │ │ │ tteeee │ │ │ │ │ Save the input image to a file and also pass it through to the next filter. │ │ │ │ │ Supported parameters are: │ │ │ │ │ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ │ │ │ │ │ |_NN_aa_mm_ee_|_TT_yy_pp_ee_|_ _ _ _ _ _ _ _DD_ee_ff_aa_uu_ll_tt_ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _DD_ee_ss_cc_rr_ii_pp_tt_ii_oo_nn_ _ _ _ _ _ _ _ _ | │ │ │ │ │ -|file| io |(required,output)|name of the output file to save the image too..| │ │ │ │ │ +|file| io |(output,required)|name of the output file to save the image too..| │ │ │ │ │ | | | |For supported file types see _P_l_u_g_i_n_ _t_y_p_e_: | │ │ │ │ │ |_ _ _ _ _|_ _ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _|_2_d_i_m_a_g_e_/_i_o_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | │ │ │ │ │ tthhiinnnniinngg │ │ │ │ │ Morphological thinning. Thinning until convergence will result in a 8-connected │ │ │ │ │ skeleton. Supported parameters are: │ │ │ │ │ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ │ │ │ │ │ |_NN_aa_mm_ee_|_ _ _ _ _ _ _ _ _ _ _ _TT_yy_pp_ee_ _ _ _ _|_DD_ee_ff_aa_uu_ll_tt_|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _DD_ee_ss_cc_rr_ii_pp_tt_ii_oo_nn_ _ _ _ _ _ _ | │ │ │ ├── ./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 | (input,required) | 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 | (required,output) | 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 | (output,required) | 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 | (input,required) | 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 |(input,required)|seed input image containing the lables for the | │ │ │ │ │ |_ _ _ _ _|_ _ _ _ _ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _|_i_n_i_t_i_a_l_ _r_e_g_i_o_n_s_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | │ │ │ │ │ tteeee │ │ │ │ │ Save the input image to a file and also pass it through to the next filter. │ │ │ │ │ Supported parameters are: │ │ │ │ │ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ │ │ │ │ │ |_NN_aa_mm_ee_|_TT_yy_pp_ee_|_ _ _ _ _ _ _ _DD_ee_ff_aa_uu_ll_tt_ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _DD_ee_ss_cc_rr_ii_pp_tt_ii_oo_nn_ _ _ _ _ _ _ _ _ | │ │ │ │ │ -|file| io |(required,output)|name of the output file to save the image too..| │ │ │ │ │ +|file| io |(output,required)|name of the output file to save the image too..| │ │ │ │ │ | | | |For supported file types see _P_l_u_g_i_n_ _t_y_p_e_: | │ │ │ │ │ |_ _ _ _ _|_ _ _ _ _|_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _|_3_d_i_m_a_g_e_/_i_o_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ | │ │ │ │ │ tthhiinnnniinngg │ │ │ │ │ 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