wassname/scikit-image
1
0
Fork 0
mirror of https://github.com/wassname/scikit-image.git synced 2026-07-13 08:10:34 +08:00
Code Issues Packages Projects Releases Wiki Activity

used plt.subplots everywhere

Browse Source
This commit is contained in:
Siva Prasad Varma
2014-03-14 17:37:14 +05:30
parent c60d15f2f4
commit fb72fb04b2
22 changed files with 350 additions and 405 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/examples/plot_radon_transform.py
+23 -31
View File
@@ -60,22 +60,20 @@ from skimage.transform import radon, rescale
image = imread(data_dir + "/phantom.png", as_grey=True)
image = rescale(image, scale=0.4)
plt.figure(figsize=(8, 4.5))
f, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 4.5))
plt.subplot(121)
plt.title("Original")
plt.imshow(image, cmap=plt.cm.Greys_r)
ax1.set_title("Original")
ax1.imshow(image, cmap=plt.cm.Greys_r)
theta = np.linspace(0., 180., max(image.shape), endpoint=True)
sinogram = radon(image, theta=theta, circle=True)
plt.subplot(122)
plt.title("Radon transform\n(Sinogram)")
plt.xlabel("Projection angle (deg)")
plt.ylabel("Projection position (pixels)")
plt.imshow(sinogram, cmap=plt.cm.Greys_r,
ax2.set_title("Radon transform\n(Sinogram)")
ax2.set_xlabel("Projection angle (deg)")
ax2.set_ylabel("Projection position (pixels)")
ax2.imshow(sinogram, cmap=plt.cm.Greys_r,
extent=(0, 180, 0, sinogram.shape[0]), aspect='auto')
plt.subplots_adjust(hspace=0.4, wspace=0.5)
f.subplots_adjust(hspace=0.4, wspace=0.5)
plt.show()
"""
@@ -103,13 +101,11 @@ error = reconstruction_fbp - image
print('FBP rms reconstruction error: %.3g' % np.sqrt(np.mean(error**2)))
imkwargs = dict(vmin=-0.2, vmax=0.2)
plt.figure(figsize=(8, 4.5))
plt.subplot(121)
plt.title("Reconstruction\nFiltered back projection")
plt.imshow(reconstruction_fbp, cmap=plt.cm.Greys_r)
plt.subplot(122)
plt.title("Reconstruction error\nFiltered back projection")
plt.imshow(reconstruction_fbp - image, cmap=plt.cm.Greys_r, **imkwargs)
f, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 4.5))
ax1.set_title("Reconstruction\nFiltered back projection")
ax1.imshow(reconstruction_fbp, cmap=plt.cm.Greys_r)
ax2.set_title("Reconstruction error\nFiltered back projection")
ax2.imshow(reconstruction_fbp - image, cmap=plt.cm.Greys_r, **imkwargs)
plt.show()
"""
@@ -156,14 +152,12 @@ error = reconstruction_sart - image
print('SART (1 iteration) rms reconstruction error: %.3g'
% np.sqrt(np.mean(error**2)))
plt.figure(figsize=(8, 8.5))
plt.subplot(221)
plt.title("Reconstruction\nSART")
plt.imshow(reconstruction_sart, cmap=plt.cm.Greys_r)
plt.subplot(222)
plt.title("Reconstruction error\nSART")
plt.imshow(reconstruction_sart - image, cmap=plt.cm.Greys_r, **imkwargs)
f, ax = plt.subplots(2, 2, figsize=(8, 8.5))
ax1, ax2, ax3, ax4 = ax.ravel()
ax1.set_title("Reconstruction\nSART")
ax1.imshow(reconstruction_sart, cmap=plt.cm.Greys_r)
ax2.set_title("Reconstruction error\nSART")
ax2.imshow(reconstruction_sart - image, cmap=plt.cm.Greys_r, **imkwargs)
# Run a second iteration of SART by supplying the reconstruction
# from the first iteration as an initial estimate
@@ -173,12 +167,10 @@ error = reconstruction_sart2 - image
print('SART (2 iterations) rms reconstruction error: %.3g'
% np.sqrt(np.mean(error**2)))
plt.subplot(223)
plt.title("Reconstruction\nSART, 2 iterations")
plt.imshow(reconstruction_sart2, cmap=plt.cm.Greys_r)
plt.subplot(224)
plt.title("Reconstruction error\nSART, 2 iterations")
plt.imshow(reconstruction_sart2 - image, cmap=plt.cm.Greys_r, **imkwargs)
ax3.set_title("Reconstruction\nSART, 2 iterations")
ax3.imshow(reconstruction_sart2, cmap=plt.cm.Greys_r)
ax4.set_title("Reconstruction error\nSART, 2 iterations")
ax4.imshow(reconstruction_sart2 - image, cmap=plt.cm.Greys_r, **imkwargs)
plt.show()
"""