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

hessian_matrix skimage.feature.hessian_matrix(image, sigma=1, mode='constant', cval=0)

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

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

greycoprops skimage.feature.greycoprops(P, prop='contrast')

peak_local_max skimage.feature.peak_local_max(image, min_distance=1, threshold_abs=None, threshold_rel=None, exclude_border=True

plot_matches skimage.feature.plot_matches(ax, image1, image2, keypoints1, keypoints2, matches, keypoints_color='k', matches_color=None

hessian_matrix_det skimage.feature.hessian_matrix_det(image, sigma)

hessian_matrix_eigvals skimage.feature.hessian_matrix_eigvals(Hxx, Hxy, Hyy)

greycomatrix skimage.feature.greycomatrix(image, distances, angles, levels=256, symmetric=False, normed=False)