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Woolz Image Processing
Version 1.7.5
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WlzSampleObj [-o<output object file>]
[-x<column sampling factor>]
[-y<line sampling factor>]
[-z<plane sampling factor>]
[-a] [-e] [-i] [-g] [-m] [-p] [-h] [<input object file>] | -x | column sub-sampling factor. |
| -y | line sub-sampling factor. |
| -z | plane sub-sampling factor. |
| -a | maximum value convolution kernel. |
| -e | median value convolution kernel. |
| -i | minimum value convolution kernel. |
| -g | gaussian convolution kernel. |
| -m | mean convolution kernel. |
| -p | point sampling. |
| -o | Output object file name. |
| -h | Help - print help message |
| -v | Verbose operation |
# An example of using WlzSampleObj to apply a scale transform # (scale = 0.5) using point sampling: WlzSampleObj -x 2 -y 2 -p <infile.wlz > outfile.wlz # Sub-sampling an object using a gaussian convolution kernel # with scale along rows = 0.3333 and the scale down columns # 0.5. WlzSobel -x 3 -y 2 -g -o outfile.wlz infile.wlz