plot probability density function of 2d data

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Rashi
Rashi on 17 Aug 2011
Hi!
I need to find if the parameters in a 2D matrix (as in case of an image) are in normal form or not. I hence want to know how to plot the probability density function of the image as well as perform the KS test.

Answers (1)

the cyclist
the cyclist on 17 Aug 2011
You don't provide much detail, but as a start maybe you could look at the hist() function for plotting, and the kstest() function for Kolmogorov-Smirnov test. You might also be interested in ksdensity() function.
  2 Comments
Rashi
Rashi on 17 Aug 2011
yeah..but I actually want to ascertain whether the points on an image follow a particular distribution or not.
Image Analyst
Image Analyst on 17 Aug 2011
Do you mean that the values of the image follow a certain shape, like it would look like a Gaussian if you were to display it with the surf() function, OR do you mean that the distribution of the intensity values is a Gaussian, for example a flat, relatively uniform image with some small amount of noise superimposed on those uniform gray levels? If you mean the latter, then hist() will get you the distribution.

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