Background subtraction

Posted by Rubiu, Elena (ext) on Sep 17, 2014; 8:01am
URL: http://imagej.273.s1.nabble.com/Background-subtraction-tp5009655.html

Hi everybody,

I am trying to analyze the fluorescence intensity of some pictures.
I usually have three different pictures of the same object, that not only differ in fluorescence intensity but also in background noise (the less the intensity, the more the noise). To deal with the noise I'm using the "subtract background" function (rolling ball algorithm), then I'm selecting the area of interest with the threshold.

My idea was to use the same parameters for all three pics (same rolling ball radius, same threshold limit) but the problem is that if I subtract the background of a relatively non-noisy pic then the threshold selection is working in a different way than with a noisy picture where I subtracted the background.

Is there a way to "quantify" noise in a picture, so that I can decide if I should subtract the background or not?
Or should I just treat every picture in the same way, not caring if the non-noisy pic's data is completely affected by the subtraction?

I hope I could explain myself clearly and that you will be willing to help me.

Thank you for your time!

Kind regards,
Elena Rubiu


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