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Section Navigation

  • 2-D image visualization
  • Apply image filter
  • Visualize image distribution
  • Fast Fourier Transform
  • Image filters
  • ImageGrid: Mutiple images on a single figure
  • RGB channels in RGB image
  • Multi-dimensional images
  • 4D image data
  • List of 3D images
  • Map function to transform 2D image
  • Interplay between function parameters using ParamGrid
  • Transform multi-dimensional images
  • ImageGrid: Apply changes to individual images
  • Outlier correction
  • Apply multiple transformations to 2-D image
  • Apply multiple transformations to list of 2-D images
  • Example gallery
  • Visualize...

Note

Go to the end to download the full example code.

Visualize image distribution#

plot image hist
import seaborn_image as isns

img = isns.load_image("polymer")

f = isns.imghist(img, cmap="YlGnBu_r", dx=15, units="nm")

Total running time of the script: (0 minutes 0.232 seconds)

Download Jupyter notebook: plot_image_hist.ipynb

Download Python source code: plot_image_hist.py

Download zipped: plot_image_hist.zip

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