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02502/02503 DTU Image Analysis Exercises

Figures in Notebooks

02502/02503 DTU Image Analysis Exercises

Overview
Overview
Installation and Setup Guide
Installation and Setup Guide
- Conda and VS Code Setup
- Running code from a command line interface
- Figures in Notebooks Figures in Notebooks
  Table of contents
  - Visualization in Jupyter Notebook and JupyterLab
- Data and GitHub
1) Introduction to Image Analysis
1) Introduction to Image Analysis
- Imports and Functions
- Exercises
1b) Principal Component Analysis (PCA) in Python
1b) Principal Component Analysis (PCA) in Python
- Exercises
2) Cameras and Lenses
2) Cameras and Lenses
- Exercises
2b) Change Detection in Videos
2b) Change Detection in Videos
- Imports and Functions
- Exercises
3) Pixelwise Operations
3) Pixelwise Operations
- Imports and Functions
- Exercises
4) Image Filtering
4) Image Filtering
- Imports and Functions
- Exercises
4b) Image Morphology
4b) Image Morphology
- Imports and Functions
- Exercises
5) BLOB Analysis (connected component analysis and object classification)
5) BLOB Analysis (connected component analysis and object classification)
- Imports and Functions
- Exercises
6) Pixel Classification and Object Segmentation
6) Pixel Classification and Object Segmentation
6b) Advanced Segmentation (Fisherman's LDA for Segmentation)
6b) Advanced Segmentation (Fisherman's LDA for Segmentation)
7) Geometric Transformations and Landmark Based Registration
7) Geometric Transformations and Landmark Based Registration
- Imports and Functions
- Exercises
8) Cats, Cats, and EigenCats!
8) Cats, Cats, and EigenCats!
- Imports and Functions
- Exercises
9) Advanced 3D Registration
9) Advanced 3D Registration
10) Viola-Jones Style Object Detection
10) Viola-Jones Style Object Detection
- Advice for this exercise
- Exercises
11) Camera, Lenses and subpixel averaging (NOT CURRICULUM SPRING 2026)
11) Camera, Lenses and subpixel averaging (NOT CURRICULUM SPRING 2026)
- Imports and functions
- Exercises
12) Path tracing (NOT CURRICULUM SPRING 2026)
12) Path tracing (NOT CURRICULUM SPRING 2026)
- Imports and functions
- Exercises

Figures in Notebooks

Latest Page Update: 23-09-2026

Visualization in Jupyter Notebook and JupyterLab¶

It is not always that interactive visualizations work out-of-the-box in for example in Jupyter Notebook or in JupyterLab. Some additional experimentation might be needed.

It might be necessary to install ipympl:

Open a conda prompt, activate your environment (`course02502´) and do:

conda install -c conda-forge ipympl

You might also need to change the visualization backend by adding this in a cell in a notebook:

For Jupyter Notebook:

%matplotlib nbgg

And in JupyterLab either:

%matplotlib widget

or

%matplotlib inline