gaussian skimage.filters.gaussian(image, sigma, output=None, mode='nearest', cval=0, multichannel=None)

subtract_mean_percentile skimage.filters.rank.subtract_mean_percentile(image, selem, out=None, mask=None, shift_x=False

img_as_int skimage.img_as_int(image, force_copy=False)

pop skimage.io.pop()

estimate_transform skimage.transform.estimate_transform(ttype, src, dst, **kwargs)

threshold_yen skimage.filters.threshold_yen(image, nbins=256)

imread skimage.data.imread(fname, as_grey=False, plugin=None, flatten=None, **plugin_args)

percentile skimage.filters.rank.percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False, p0=0)

windowed_histogram skimage.filters.rank.windowed_histogram(image, selem, out=None, mask=None, shift_x=False, shift_y=False

equalize_hist skimage.exposure.equalize_hist(image, nbins=256, mask=None)