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Merge pull request #1237 from emmanuelle/filters_rank

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Remove deprecated module name `filter` from tutorial
This commit is contained in:
Stefan van der Walt
2014-11-27 00:46:42 +02:00
parent b5a07989ce 78415132c4
commit 112ed8ae9e
1 changed files with 7 additions and 7 deletions
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doc/examples/applications/plot_rank_filters.py
+7 -7
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@@ -586,7 +586,7 @@ def ndi_med(image, n):
Comparison between
* `filter.rank.maximum`
* `filters.rank.maximum`
* `morphology.dilate`
on increasing structuring element size:
@@ -610,7 +610,7 @@ ax.set_title('Performance with respect to element size')
ax.set_ylabel('Time (ms)')
ax.set_xlabel('Element radius')
ax.plot(e_range, rec)
ax.legend(['filter.rank.maximum', 'morphology.dilate'])
ax.legend(['filters.rank.maximum', 'morphology.dilate'])
"""
@@ -638,7 +638,7 @@ ax.set_title('Performance with respect to image size')
ax.set_ylabel('Time (ms)')
ax.set_xlabel('Image size')
ax.plot(s_range, rec)
ax.legend(['filter.rank.maximum', 'morphology.dilate'])
ax.legend(['filters.rank.maximum', 'morphology.dilate'])
"""
@@ -647,7 +647,7 @@ ax.legend(['filter.rank.maximum', 'morphology.dilate'])
Comparison between:
* `filter.rank.median`
* `filters.rank.median`
* `scipy.ndimage.percentile`
on increasing structuring element size:
@@ -669,7 +669,7 @@ rec = np.asarray(rec)
fig, ax = plt.subplots()
ax.set_title('Performance with respect to element size')
ax.plot(e_range, rec)
ax.legend(['filter.rank.median', 'scipy.ndimage.percentile'])
ax.legend(['filters.rank.median', 'scipy.ndimage.percentile'])
ax.set_ylabel('Time (ms)')
ax.set_xlabel('Element radius')
@@ -682,7 +682,7 @@ Comparison of outcome of the three methods:
fig, ax = plt.subplots()
ax.imshow(np.hstack((rc, rndi)))
ax.set_title('filter.rank.median vs. scipy.ndimage.percentile')
ax.set_title('filters.rank.median vs. scipy.ndimage.percentile')
ax.axis('off')
"""
@@ -708,7 +708,7 @@ rec = np.asarray(rec)
fig, ax = plt.subplots()
ax.set_title('Performance with respect to image size')
ax.plot(s_range, rec)
ax.legend(['filter.rank.median', 'scipy.ndimage.percentile'])
ax.legend(['filters.rank.median', 'scipy.ndimage.percentile'])
ax.set_ylabel('Time (ms)')
ax.set_xlabel('Image size')