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    Woolz Image Processing
    Version 1.7.5
    
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WlzRadialDistribution [-h] [-v] [-A] [-D] [-G] [-H] [-E] [-L] [-R]
                      [-c #,#] [-d <debug image>] [-n #]  [-o <out file>]
                      [-t #] [<input image>] | -h | Prints usage information. | 
| -v | Be verbose output. | 
| -A | Sort output by area (default). | 
| -D | Sort output by distance from boundary. | 
| -G | Sort output by angle. | 
| -R | Sort output by radial distance from centre. | 
| -H | Threshold high, use pixels at or above threshold (default). | 
| -E | Threshold equal, use pixels at threshold. | 
| -L | Threshold low, use pixels below threshold. | 
| -c | Centre (default is image centre). | 
| -d | Debug image. | 
| -n | Minimum area (default g). | 
| -t | Threshold value (default is to compute using Otsu's method). | 
<angle> <dist from centre> <area> <x pos>,<y pos> <dist form boundary>
WlzRadialDistribution -o out.txt -d debug.jpg in.tifThe input image is read from in.tif, a debug image showing the segmented regions is written to debug.jpg and the radial distribution statistics are written to the file out.txt. With the output in out.txt, the following R code would plot the data as a set of circles with radius proportional to the square root of the component area:
  data <- read.table("out.txt")
  attach(data)
  symbols(x=data$V1, y=data$V2, circles=sqrt(data$V3))