Correlation

Correlation with the Gaussian using mat lab’s built in cross
correlation; this leads to a much faster run time.  Correlation with
the Gaussian is detecting a lot of “noise” (i.e., non-circular
objects).  Thus, a new function, GeneralGaussian, allows normalized
cross correlation with any given image and a desired template (i.e.,
cropped part of image).  This is still producing “noise”, but still
generally improved results.  I must still figure out how to reduce this
“noise” and a good way to automatically detect cutoff value for
correlation.