def repeat_median():
dist = noise.salt_and_pepper(salt_vs_pepper=0.1)
cv.namedWindow('salt_and_pepper', cv.WINDOW_NORMAL)
cv.imshow('salt_and_pepper', dist)
my_filter = Filters(dist)
out = my_filter.core(mode='median_filter')
cv.namedWindow('1', cv.WINDOW_NORMAL)
cv.imshow('1', out)
my_filter1 = Filters(out)
out1 = my_filter1.core(mode='median_filter')
cv.namedWindow('2', cv.WINDOW_NORMAL)
cv.imshow('2', out1)
my_filter2 = Filters(out1)
out2 = my_filter2.core(mode='median_filter')
cv.namedWindow('3', cv.WINDOW_NORMAL)
cv.imshow('3', out2)
cv.waitKey(0)
def compare_filter(noise_name, var_list=None, noise_data=None):
if noise_data is None:
dist = getattr(noise, noise_name)()
cv.namedWindow(noise_name, cv.WINDOW_NORMAL)
cv.imshow(noise_name, dist)
else:
dist = noise_data
if not var_list:
return
my_filter = Filters(dist)
out = None
for key, value in var_list.items():
if not value:
out = my_filter.core(mode=key)
else:
out = my_filter.core(mode=key, **value)
cv.namedWindow(key, cv.WINDOW_NORMAL)
cv.imshow(key, out)
cv.waitKey(0)
return out
