I am trying to detect circular objects on a gray scale image (0-255) of a thin section using blob_doh in python. How can I limit the domain of blob_doh function say between 0-200 so that the function does not look for blobs for values > 200. I think this has to be different from simply zeroing out large intensity values, hasn't it?
Using one of the edge detection algorithms might help...
You could adjust the threshold argument in blob_doh, it passes it to the threshold_abs in the peak_local_max.
Thank you Cedric. However, the threshold argument defines the minimum size of blobs to be detected, doesn't it? Is this what you mean by "threshold"?
Hi Constantin, indeed, it defines the minimum intensity to be detected, but you could find the list of coordinates bellow that threshold by subtraction. Basically, you can set a thresh were everything > 200 is detected which will give you a list of coordinates List1 = [(xmax, ymax)], then you can lower the threshold to include all the intensity List2 = [(xtot, ytot)] and subtract List1 to List2. The easiest way to do that in python is by using a list comprehension.
Thank you Cedric for this useful piece of information. I will look into it!
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