August 11, 2020

Image analysis in Python with SciPy and scikit-image

Image analysis in Python with SciPy and scikit-image
From telescopes to satellite cameras to electron microscopes, scientists are producing more images than they can manually inspect. This tutorial will introduce automated image analysis using the “images as numpy arrays” abstraction, run through various fundamental image processing and image analysis operations, and finally complete one or two more advanced real-world examples.

Prerequisites: Before attending this workshop, learners should have a working knowledge of Python syntax, using Jupyter notebooks, and the basics of NumPy arrays. Intermediate – advanced level.

What you’ll need: A computer with speakers and a microphone (note: webcams and dual monitors are recommended but not required). A web browser, Zoom, and installation of the following software:
– A Python distribution such as Anaconda
– A working Python environment with the following packages:

  • Scikit-image
  • Scikit-learn
  • Pandas
  • Napari
  • Ipython
  • Jupyter notebook

A Zoom link and instructions will be sent to registrants 3 days prior to the workshop.

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How to register? 

1. Monash staff and Graduate Research students click here.
Note: that Data Fluency workshops are now only available to Graduate Research students.

2. External participants from Monash affiliate partners only (The Hudson Institute, The Alfred Hospital, Alfred Research Alliance Members, Peninsula Health, Baker Institute, Burnet Institute, CSIRO and MASSIVE) register here.