Fix inconsistencies in examples and many more improvements

This commit is contained in:
Johannes Schönberger
2013-04-27 16:47:33 +02:00
parent 41007b417b
commit d0ee6ade61
40 changed files with 138 additions and 132 deletions
+3 -2
View File
@@ -11,14 +11,15 @@ First we try reconstruction by dilation starting at the edges of the image. We
initialize a seed image to the minimum intensity of the image, and set its
border to be the pixel values in the original image. These maximal pixels will
get dilated in order to reconstruct the background image.
"""
import numpy as np
from scipy.ndimage import gaussian_filter
import matplotlib.pyplot as plt
from skimage import data
from skimage import img_as_float
from skimage.morphology import reconstruction
from scipy.ndimage import gaussian_filter
import matplotlib.pyplot as plt
# Convert to float: Important for subtraction later which won't work with uint8
image = img_as_float(data.coins())