WlzHistogramFitPeaks

Mapping and Analysis CD | WlzHistogramFitPeaks

Usage: WlzHistogramFitPeaks [-h] [-y] [-o< out file >] [-s#] [-t#] [-l#] [< in object >]


Options:
      -l Log-liklihood fitting tolerance.
      -n Number of Gaussian distributions.
      -o Output data file name.
      -s Minimum Gaussian sigma (standard deviation).
      -t Threshold value for peak height.
      -y Synthesize a new histogram from the mixture of Gaussians, by
            default just the statistics are output.
      -h Help, prints this usage message.

      Fits a mixture of Gaussian distributions to the given Woolz histogramusing a maximum liklihood estimate. If given the number of Gaussian
      distributions is zero (default) then Gaussians will be fitted to
      peaks found using WlzHistogramFindPeaks.
      Either the statistics of the Gaussian mixture are output in the format
      < mu (mean) > < sigma (std dev) > < alpha (height) > < area >
      one record for each fitted Gaussian, or a synthesized histogram built
      using the statistics is output.
      Objects/data are read from stdin and written to stdout unless the
      filenames are given.

      Example: WlzHistogramFitPeaks -s1.0 -t 10.0 myhist.wlz
      The input Woolz histogram object is read from myhist.wlz. Histogram
      peaks are detected using a Gaussian smoothing filter with a sigma value
      of 1.0 and a threshold value of 10.0, the maximum liklihood mixture
      of Gaussians is computed and the mixture statistics are written to the
      standard output.

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Last modified:

24/6/2003