coins skimage.data.coins()

hog skimage.feature.hog(image, orientations=9, pixels_per_cell=(8, 8), cells_per_block=(3, 3), visualise=False, transform_sqrt=False,

random_noise skimage.util.random_noise(image, mode='gaussian', seed=None, clip=True, **kwargs)

BRIEF class skimage.feature.BRIEF(descriptor_size=256, patch_size=49, mode='normal', sigma=1, sample_seed=1)

plugin_info skimage.io.plugin_info(plugin)

rescale skimage.transform.rescale(image, scale, order=1, mode='constant', cval=0, clip=True, preserve_range=False)

join_segmentations skimage.segmentation.join_segmentations(s1, s2)

integral_image skimage.transform.integral_image(img)

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

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