Woolz Image Processing
Version 1.8.3
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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