unique_rows skimage.util.unique_rows(ar)

blob_dog skimage.feature.blob_dog(image, min_sigma=1, max_sigma=50, sigma_ratio=1.6, threshold=2.0, overlap=0.5)

route_through_array skimage.graph.route_through_array(array, start, end, fully_connected=True, geometric=True)

img_as_ubyte skimage.img_as_ubyte(image, force_copy=False)

hed2rgb skimage.color.hed2rgb(hed)

blob_doh skimage.feature.blob_doh(image, min_sigma=1, max_sigma=30, num_sigma=10, threshold=0.01, overlap=0.5, log_scale=False)

deltaE_ciede2000 skimage.color.deltaE_ciede2000(lab1, lab2, kL=1, kC=1, kH=1)

Getting help on using skimage Besides the user guide, there exist other opportunities to get help on using skimage.

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

matrix_transform skimage.transform.matrix_transform(coords, matrix)