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Data Carpentry

    Data Carpentry
    Image Processing with Python
    • Image Processing with Python
    • Key Points
    • Instructor Notes
    • Extract All Images

      • Prerequisites
      • Discussion
      • Glossary
      • Further Reading
      • Extra Episode: Edge Detection
    Search the All In One page
    Image Processing with Python
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    Summary and Schedule
    1. Introduction
    2. Image Basics
    3. Working with scikit-image
    4. Drawing and Bitwise Operations
    5. Creating Histograms
    6. Blurring Images
    7. Thresholding
    8. Connected Component Analysis
    9. Capstone Challenge

    • Key Points
    • Instructor Notes
    • Extract All Images

    • Prerequisites
    • Discussion
    • Glossary
    • Further Reading
    • Extra Episode: Edge Detection

    See all in one page
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    Further Reading

    Last updated on 2026-03-23 | Edit this page

    Where to go from here


    • Scikit-image YouTube tutorials
    • Principles of Scientific Imaging
    • Data Handling and Management Training
    • Introduction to Bioimage Analysis by Pete Bankhead
    • Bio-image Analysis Notebooks by Robert Haase
    • Introduction to artificial neural networks in Python
    • Building Better Research Software

    Where to find more help


    • Image.sc Forum
    • NFDI4BioImage Training Materials collection
    • Curated list of image analysis resources by EPFL Center for Imaging

    Scientific Literature


    • Digital Image Processing, Textbook by Rafael C. Gonzalez and Richard E. Woods
    • Checklist for publishing images and analyses
    • REMBI: Recommended Metadata for Biological Images
    • “Twenty questions”: a schema for a set of questions to guide analyses
    • From cells to pixels: A decision tree for designing bioimage analysis pipelines
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