Lesson 35: Introduction to image processing with scikit-image

(c) 2019 Justin Bois. With the exception of pasted graphics, where the source is noted, this work is licensed under a Creative Commons Attribution License CC-BY 4.0. All code contained herein is licensed under an MIT license.

This document was prepared at Caltech with financial support from the Donna and Benjamin M. Rosen Bioengineering Center.

This tutorial was generated from a Jupyter notebook. You can download the notebook here.


In [1]:
import numpy as np
import pandas as pd

# Our image processing tools
import skimage.filters
import skimage.io
import skimage.morphology

import bokeh_catplot
import bootcamp_utils

import holoviews as hv
hv.extension('bokeh')

import bokeh.io
bokeh.io.output_notebook()