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Woolz Image Processing
Version 1.7.5
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WlzDefGrdTensorFeatures [-d <x>,<y>,<z>] [-f <feature list>]
[-g <x>,<y>,<z>] [-h] [-o<out file>]
[-p] [-s <dst>] [-u] [-x] [<input file>]
| -d | Dither range for point positions (default no dithering, dithering implies a points output object). |
| -g | Smooth values using a Gaussian with the given sigma values (default no smoothing). |
| -f | Features for extraction identified by a comma separated list of single characters. |
| -h | Help, prints usage message. |
| -p | Output points objects rather than vector fields. |
| -o | Output object file. |
| -s | Minimum point seperation. If generating points objects then " this specifies the minimum distance between points. |
| -u | If a single feature is requested do not use a compound object. |
| -x | Use voxel size scaling for points objects. |
| identifying character | property name | feature |
| d | eigen vectors | eigen (principle direction) vectors |
| j | jacobian | determinant of Jacobian tensor |
| s | eigen values | eigen (principle stretch) values Default feature selection is d,j,s. |
By default all files are read from the standard input and are written to the standard output.
WlzDefGrdTensorFeatures -f d -p -s 40 -d 20,20,20
-g 2,2,2 -o features.wlz dgf.wlz
Creates a compound object with a single component points object in which the point domain locations are scattered over the given field's domain with a separation of 40 voxels but then dithered by an additional range of +/-20 voxels. The principle directions are computed and smoothed using a Gaussian with sigma values of 2,2,2 prior to sampling at the point locations. The associated point values will be vector values with a vector for each principle direction. The points object will also have it's name property set to "eigen vectors". The compound object will be written to the file features.wlz.