Detecting peaks in a noisy 2D correlation plot
You could try using the peak-to-sidelobe ratio, i.e. how many standard deviations above the mean is each point in the correlation output.

psr = ${p - \mu }\over\sigma  $

Typically you compute the mean and sigma in a window around each point excluding the region nearest to each point.