scikit-mpe 0.1.0

Minimal path extraction using the fast marching method

scikit-mpe

scikit-mpe is a package for extracting a minimal path in n-dimensional Euclidean space (on regular Cartesian grids) using the fast marching method.

Quickstart

Here is a simple example that demonstrates how to extract the path passing through the retina vessel.

from matplotlib import pyplot as plt

from skimage.data import retina
from skimage.color import rgb2gray
from skimage.transform import rescale
from skimage.filters import sato

from skmpe import mpe

image = rescale(rgb2gray(retina()), 0.5)
speed_image = sato(image)

start_point = (76, 388)
end_point = (611, 442)
way_points = [(330, 98), (554, 203)]

path_info = mpe(speed_image, start_point, end_point, way_points)

px, py = path_info.path[:, 1], path_info.path[:, 0]

plt.imshow(image, cmap='gray')
plt.plot(px, py, '-r')

plt.plot(*start_point[::-1], 'oy')
plt.plot(*end_point[::-1], 'og')
for p in way_points:
    plt.plot(*p[::-1], 'ob')

plt.show()

License

MIT