Class ImStats

The class ImStats provides a tool for computing central moments and estimating a type of parametric probability distribution function to model the input image data.

Description: There are six parameters computed in this class. Four of the parameters are central moments, such as, mean, standard deviation, skew and kurtosis. Two additional parameters, minimum and maximum values, are useful indicators of a dynamic range per image band. The third and fourth central moments are used to estimate an appropriate type of a parametric distribution function for modeling purposes.

Run: Select "Min and Max Val" from a choice list to explore dynamic range of bands. Click "Compute" or "ComputeMask" (if a mask should be used) to perform the computation. The button "List" displays the values in the text area labeled as Results. The button "ShowPlot" creates a new frame that illustrates all values as a function of band index.
The same procedure can be applied when the StatsType list is set to "Mean and Stdev Val". The visual display shows the mean, mean + stdev and mean - stdev values per each band.
The visual output for the case of "Skew and Kurtosis Val" corresponds to the probability distribution plane that is used for estimating the type of suitable parametric distribution function. The types are displayed in the text area labeled as Results when the button "List" is pressed. The following parametric distribution models are derived from the central moments: Uniform, Normal, Exponential, Beta (U-Shaped) Distribution, Beta (J-Shaped) Distribution, Beta Distribution, Lognormal (Gamma, Weibull) Distribution and Student's t-Distribution.

Release notes:
The current release does not save out any text of the plots in the "Save As Image" mode.