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Resampling

Images can be collected in a variety of shapes and sizes. Resampling is a useful tool when these shapes need to be made consistent. Two common applications are:

  • Downsampling: combining pixel data to decrease size
  • Upsampling: distributing pixel data to increase size

For this exercise, transform and then resample the brain image (im) to see how it affects image shape.

Latihan ini adalah bagian dari kursus

Biomedical Image Analysis in Python

Lihat Kursus

Petunjuk latihan

  • Shift im 20 pixels left and 20 pixels up, i.e. (-20, -20). Then, rotate it 35 degrees downward. Remember to specify a value for reshape.
  • Use ndi.zoom() to downsample the image from (256, 256) to (64, 64).
  • Use ndi.zoom() to upsample the image from (256, 256) to (1024, 1024).
  • Plot the resampled images.

Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

# Center and level image
xfm = ndi.shift(____, shift=____)
xfm = ndi.rotate(____, angle=____, reshape=____)

# Resample image
im_dn = ndi.zoom(xfm, zoom=____)
im_up = ____

# Plot the images
fig, axes = plt.subplots(2, 1)
axes[0].imshow(im_dn)
____
format_and_render_plot()
Edit dan Jalankan Kode