[Insight-users] Parzen windows vs. basis functions in alignment by max. of mutual info

[Issac Trotts]

In the papers I've seen about alignment by maximization of mutual info,
Parzen windows are used to get smooth, continuous histograms from
discrete histograms.  I wonder if it be more accurate to first
approximate the given images with linear combinations of smooth basis
functions and then obtain smooth, continuous histograms by spatial
integration.  I'd be interested to know if anyone on this has tried this
or can tell me why Parzen windows are a better choice.  

Thanks,
Issac Trotts