How can i see in if a binary image is almost all black or all white in numpy or scikit-image modules ?
I thought about numpy.all
function or numpy.any
but i do not know how neither for a total black image nor for a almost black image.
Here is a list of ideas I can think of:
np.sum()
and if it is lower than a threshold, then consider it almost black np.mean()
and np.std()
of the image, an almost black image is an image that has low mean and low variance Assuming that all the pixels really are ones or zeros, something like this might work (not at all tested):
def is_sorta_black(arr, threshold=0.8):
tot = np.float(np.sum(arr))
if tot/arr.size > (1-threshold):
print "is not black"
return False
else:
print "is kinda black"
return True
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