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STY: Rename highlight_boundaries to mark_boundaries

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Tony S Yu
2012-10-07 19:23:38 -04:00
parent 694ac11f93
commit ad53159d60
3 changed files with 8 additions and 9 deletions
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doc/examples/plot_segmentations.py
+4 -4
View File
@@ -64,7 +64,7 @@ import numpy as np
from skimage.data import lena
from skimage.segmentation import felzenszwalb, slic, quickshift
from skimage.segmentation import highlight_boundaries
from skimage.segmentation import mark_boundaries
from skimage.util import img_as_float
img = img_as_float(lena()[::2, ::2])
@@ -80,11 +80,11 @@ fig, ax = plt.subplots(1, 3)
fig.set_size_inches(8, 3, forward=True)
plt.subplots_adjust(0.05, 0.05, 0.95, 0.95, 0.05, 0.05)
ax[0].imshow(highlight_boundaries(img, segments_fz))
ax[0].imshow(mark_boundaries(img, segments_fz))
ax[0].set_title("Felzenszwalbs's method")
ax[1].imshow(highlight_boundaries(img, segments_slic))
ax[1].imshow(mark_boundaries(img, segments_slic))
ax[1].set_title("SLIC")
ax[2].imshow(highlight_boundaries(img, segments_quick))
ax[2].imshow(mark_boundaries(img, segments_quick))
ax[2].set_title("Quickshift")
for a in ax:
a.set_xticks(())
skimage/segmentation/__init__.py
+1 -2
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@@ -2,6 +2,5 @@ from .random_walker_segmentation import random_walker
from ._felzenszwalb import felzenszwalb
from ._slic import slic
from ._quickshift import quickshift
from .boundaries import (find_boundaries, visualize_boundaries,
highlight_boundaries)
from .boundaries import find_boundaries, visualize_boundaries, mark_boundaries
from ._clear_border import clear_border
skimage/segmentation/boundaries.py
+3 -3
View File
@@ -13,7 +13,7 @@ def find_boundaries(label_img):
return boundaries
def highlight_boundaries(image, label_img, color=(1, 1, 0), outline_color=None):
def mark_boundaries(image, label_img, color=(1, 1, 0), outline_color=None):
"""Return image with boundaries between labeled regions highlighted.
Parameters
@@ -40,6 +40,6 @@ def highlight_boundaries(image, label_img, color=(1, 1, 0), outline_color=None):
return image
@deprecated('highlight_boundaries')
@deprecated('mark_boundaries')
def visualize_boundaries(*args, **kwargs):
return highlight_boundaries(*args, **kwargs)
return mark_boundaries(*args, **kwargs)