A saliency map (2D image)and a segmented image(2D image) of same image is already having. On the basis of saliency map, i have to calculate average saliency for each region of segmented image.
I assume that in the segmented regions has different label values and that the background region has value of 0.
In Matlab you can do the following:
saliencyForRegion1 = mean(saliency(segmented==1));
if you want this for all the regions that are different than 0:
for label=1:1:length(unique(a))-1
meanSaliencyOfLabel(label,1) = mean(saliency(segmented==label));
end
Thank You Amitay Nachmani .How can i see the output image?i mean imshow gives no output
May be i miss understood the question but you asked for an average value per region that means that you get a scalar value for each region and thus it isn't an image.
i think my question is not clear.as seen in the image, i want to show the deer and calculate the mean of region (deer only). there may be 2-3 regions in the image.So i want to show each region separately and calculate the mean of each region.
To get an image of the saliency only for a specific region just do:
saliencyRegionLabel = saliency.*(segmented==label);
The avarge value of the saliency is:
saliencyAvrageForRegionLabel= mean(saliency(segmented==label));
if you look up the graph based saliency toolbox in matlab on the web, you can use that to segment your region in a way that its pretty easy to just run a boxcar saliency indicator over. an example would be statistical noise via a local STDev estimate. I can point you to some change detection publications that explain the process.
rereading your other posts - why not just do a binary map of the region of interest with some morphological tool, then run a window of saliency estimates of your choice (see my prior comment) along the whole mxn matrix?
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