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

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

find_contours skimage.measure.find_contours(array, level, fully_connected='low', positive_orientation='low')

chelsea skimage.data.chelsea()

probabilistic_hough_line skimage.transform.probabilistic_hough_line(img, threshold=10, line_length=50, line_gap=10

Module: feature

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

autolevel_percentile skimage.filters.rank.autolevel_percentile(image, selem, out=None, mask=None, shift_x=False

corner_foerstner skimage.feature.corner_foerstner(image, sigma=1)

push skimage.io.push(img)