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PEP8 compliance and doc formatting fixes.

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Geoffrey French
2014-09-02 19:16:41 +01:00
parent e6bda5accd
commit 5342299572
7 changed files with 75 additions and 48 deletions
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doc/examples/plot_windowed_histogram.py
+7 -7
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@@ -57,7 +57,7 @@ def windowed_histogram_similarity(image, selem, reference_hist, n_bins):
# Reshape coin histogram to (1,1,N) for broadcast when we want to use it in
# arithmetic operations with the windowed histograms from the image
reference_hist = reference_hist.reshape((1,1) + reference_hist.shape)
reference_hist = reference_hist.reshape((1, 1) + reference_hist.shape)
# Compute Chi squared distance metric: sum((X-Y)^2 / (X+Y));
# a measure of distance between histograms
@@ -66,7 +66,7 @@ def windowed_histogram_similarity(image, selem, reference_hist, n_bins):
num = (X-Y)*(X-Y)
denom = X+Y
frac = num / denom
frac[denom==0] = 0
frac[denom == 0] = 0
chi_sqr = np.sum(frac, axis=2) * 0.5
# Generate a similarity measure. It needs to be low when distance is high
@@ -80,17 +80,18 @@ def windowed_histogram_similarity(image, selem, reference_hist, n_bins):
# Load the `skimage.data.coins` image
img = img_as_ubyte(data.coins())
# Quantize to 16 levels of grayscale; this way the output image will have a
# Quantize to 16 levels of greyscale; this way the output image will have a
# 16-dimensional feature vector per pixel
quantized_img = img//16
# Select the coin from the 4th column, second row.
# Co-ordinate ordering: [x1,y1,x2,y2]
coin_coords = [184,100,228,148] # 44 x 44 region
coin = quantized_img[coin_coords[1]:coin_coords[3], coin_coords[0]:coin_coords[2]]
coin_coords = [184, 100, 228, 148] # 44 x 44 region
coin = quantized_img[coin_coords[1]:coin_coords[3],
coin_coords[0]:coin_coords[2]]
# Compute coin histogram and normalize
coin_hist, _ = np.histogram(coin.flatten(), bins=16, range=(0,16))
coin_hist, _ = np.histogram(coin.flatten(), bins=16, range=(0, 16))
coin_hist = coin_hist.astype(float) / np.sum(coin_hist)
@@ -114,7 +115,6 @@ rotated_similarity = windowed_histogram_similarity(quantized_rotated_image,
coin_hist.shape[0])
# Plot it all
fig, axes = plt.subplots(nrows=5, figsize=(6, 18))
ax0, ax1, ax2, ax3, ax4 = axes