random_walker skimage.segmentation.random_walker(data, labels, beta=130, mode='bf', tol=0.001, copy=True, multichannel=False

imread_collection skimage.io.imread_collection(load_pattern, conserve_memory=True, plugin=None, **plugin_args)

slic skimage.segmentation.slic(image, n_segments=100, compactness=10.0, max_iter=10, sigma=0, spacing=None, multichannel=True, convert2lab=None

rgb2rgbcie skimage.color.rgb2rgbcie(rgb)

chelsea skimage.data.chelsea()

Image data types and what they mean In skimage, images are simply

Image Segmentation Image segmentation is the task of labeling the pixels of objects of interest in an image. In this tutorial, we will see how to segment objects from a background. We

xyz2lab skimage.color.xyz2lab(xyz, illuminant='D65', observer='2')

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

corner_kitchen_rosenfeld skimage.feature.corner_kitchen_rosenfeld(image, mode='constant', cval=0)