gabor_kernel skimage.filters.gabor_kernel(frequency, theta=0, bandwidth=1, sigma_x=None, sigma_y=None, n_stds=3, offset=0)

new_plot skimage.viewer.utils.new_plot(parent=None, subplot_kw=None, **fig_kw)

MCP_Geometric class skimage.graph.MCP_Geometric(costs, offsets=None, fully_connected=True) Bases: skimage

corner_fast skimage.feature.corner_fast(image, n=12, threshold=0.15)

Module: feature

guess_spatial_dimensions skimage.color.guess_spatial_dimensions(image)

label skimage.morphology.label(input, neighbors=None, background=None, return_num=False, connectivity=None)

Module: data Standard test images. For more images, see

felzenszwalb skimage.segmentation.felzenszwalb(image, scale=1, sigma=0.8, min_size=20)

rocket skimage.data.rocket()