diff --git a/doc/examples/plot_blob.py b/doc/examples/plot_blob.py
index 0c433317..53ac95d4 100644
--- a/doc/examples/plot_blob.py
+++ b/doc/examples/plot_blob.py
@@ -6,7 +6,7 @@ Blob Detection
Blobs are bright on dark or dark on bright regions in an image. In
this example, blobs are detected using 3 algorithms. The image used
in this case is the Hubble eXtreme Deep Field. Each bright dot in the
-image is a star or a galaxy, so we are literally counting stars.
+image is a star or a galaxy.
Laplacian of Gaussian (LoG)
-----------------------------
@@ -53,22 +53,15 @@ blobs_dog[:, 2] = blobs_dog[:, 2] * sqrt(2)
blobs_doh = blob_doh(image_gray, max_sigma=30, threshold=.01)
-fig1, ax1 = plt.subplots(1, 1)
-ax1.set_title('Laplacian of Gaussian')
-
-fig2, ax2 = plt.subplots(1, 1)
-ax2.set_title('Difference of Gaussian')
-
-fig3, ax3 = plt.subplots(1, 1)
-ax3.set_title('Determinant of Hessian')
-
-axes = [ax1, ax2, ax3]
blobs_list = [blobs_log, blobs_dog, blobs_doh]
colors = ['yellow', 'lime', 'red']
+titles = ['Laplacian of Gaussian', 'Difference of Gaussian',
+ 'Determinant of Hessian']
+sequence = zip(blobs_list, colors, titles)
-sequence = zip(axes, blobs_list, colors)
-
-for ax, blobs, color in sequence:
+for blobs, color, title in sequence:
+ fig, ax = plt.subplots(1, 1)
+ ax.set_title(title)
ax.imshow(image, interpolation='nearest')
for blob in blobs:
y, x, r = blob
diff --git a/skimage/data/__init__.py b/skimage/data/__init__.py
index d3326451..67d527a8 100644
--- a/skimage/data/__init__.py
+++ b/skimage/data/__init__.py
@@ -204,10 +204,10 @@ def coffee():
def hubble_deep_field():
- """Hubble eXtreme Deep Field
+ """Hubble eXtreme Deep Field.
This photograph contains the Hubble Telescope's farthest ever view of
- the universe. Originally intended to be used as an example of blob
+ the universe. It can be useful as an example for multi-scale
detection.
Notes
@@ -216,7 +216,8 @@ def hubble_deep_field():
`HubbleSite
`__.
- The image was captured by NASA and `may be freely used in the public domain `_.
+ The image was captured by NASA and `may be freely used in the
+ public domain `_.
"""
return load("hubble_deep_field.jpg")