Created
May 19, 2016 07:36
-
-
Save emmanuelle/c741f9656d3e70efbd736bb32d75fee6 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
from skimage.segmentation import active_contour | |
from skimage import io, color, transform, filters, util | |
import numpy as np | |
import matplotlib.pyplot as plt | |
image = io.imread('statue.jpg') | |
print('Rescaling image...') | |
image = transform.rescale(image, 0.05) | |
image = color.rgb2gray(image) | |
image = util.pad(image, ((3, 3), (0, 0)), mode='constant', | |
constant_values=image.max()) | |
image = filters.gaussian(image, 2) | |
r, c = np.array(image.shape)[:2] | |
# Build inital contour | |
horiz = np.linspace(0, c, 50, endpoint=False) | |
vert = np.linspace(0, r, 50, endpoint=False) | |
up = np.array([horiz, np.ones_like(horiz)]).T | |
right = np.array([(c - 1) * np.ones_like(vert), vert]).T | |
down = np.array([horiz[::-1], (r - 1) * np.ones_like(horiz)]).T | |
left = np.array([np.ones_like(vert), vert[::-1]]).T | |
init = np.vstack((up, right, down, left)) | |
print('Iterating active contour...') | |
snake = active_contour(image, init, | |
alpha=0.01, beta=0.1, w_line=-0.5, w_edge=1.5, | |
max_iterations=2000, gamma=0.01) | |
plt.imshow(image, cmap='gray', interpolation='nearest') | |
plt.plot(init[:, 0], init[:, 1]) | |
plt.plot(snake[:, 0], snake[:, 1]) | |
plt.show() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Using