Most efficient way to calculate average value of labelled objects within an image

[Robin Wilson]

Hi,

I have a labelled image, where each individual connected object has a 
unique integer value (eg. as produced from skimage.measure.label), and I 
want to get the mean value of these pixels from another image (eg. the 
image that I originally segmented before labelling).

What is the most efficient way to do this? The naive way is to loop over 
the values in the image calculating it for each one - but I assume that 
numpy (or skimage itself) has a far better way of doing this...

Thanks,

Robin

Dr Robin Wilson
Research Fellow
University of Southampton, UK

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-image/attachments/20160513/b50f749c/attachment.html>