mia-2dseriessmoothgradMAD {-i string} {-o io} [
options
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Plugin type: 2dimage/filter
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Given a set of images of temporal sucession, evaluate the temporal pixel-wise gaussian and evaluate pixel-wise its MAD.A spacial pre-filtering may be applied by specifying additional plugins (filter/2dimage)
input segmentation set
output file name. For supported file types see Plugin type: 2dimage/io
Skip files at the beginning
Enlarge cropbox by number of pixels
crop image before running statistics
gauss filter width for moothing the gradient
verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:
| debug: | Debug output |
| message: | Normal messages |
| info: | Low level messages |
| error: | Report errors |
| fatal: | Report only fatal errors |
| trace: | Function call trace |
| warning: | Warnings |
| fail: | Report test failures |
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).
Evaluate the MAD-image of the bounding box surrounding the segmentation from a series segment.set after applying a temporal Gaussian filter of width 5. No spacial filtering will be applied. The bounding box will be enlarged by 3 pixels in all directions. Store the image in OpenEXR format.
mia-2dseriessmoothgradMAD -i segment.set -o mad.exr -g 2 -c -e 3
Gert Wollny