mirror of
https://github.com/wassname/scikit-image.git
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emmanuelle
55f5103dd8
Modified travis_script.sh to account for the new structure of the gallery Added README.txt files in directories of gallery examples Fixed references to gallery images in user guide pages Fixed broken links
50 lines
1.2 KiB
Python
50 lines
1.2 KiB
Python
"""
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============
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Thresholding
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============
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Thresholding is used to create a binary image. This example uses Otsu's method
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to calculate the threshold value.
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Otsu's method calculates an "optimal" threshold (marked by a red line in the
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histogram below) by maximizing the variance between two classes of pixels,
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which are separated by the threshold. Equivalently, this threshold minimizes
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the intra-class variance.
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.. [1] http://en.wikipedia.org/wiki/Otsu's_method
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"""
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import matplotlib
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import matplotlib.pyplot as plt
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from skimage.data import camera
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from skimage.filters import threshold_otsu
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matplotlib.rcParams['font.size'] = 9
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image = camera()
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thresh = threshold_otsu(image)
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binary = image > thresh
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#fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(8, 2.5))
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fig = plt.figure(figsize=(8, 2.5))
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ax1 = plt.subplot(1, 3, 1, adjustable='box-forced')
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ax2 = plt.subplot(1, 3, 2)
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ax3 = plt.subplot(1, 3, 3, sharex=ax1, sharey=ax1, adjustable='box-forced')
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ax1.imshow(image, cmap=plt.cm.gray)
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ax1.set_title('Original')
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ax1.axis('off')
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ax2.hist(image)
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ax2.set_title('Histogram')
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ax2.axvline(thresh, color='r')
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ax3.imshow(binary, cmap=plt.cm.gray)
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ax3.set_title('Thresholded')
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ax3.axis('off')
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plt.show()
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