Latest Website Update: 23-09-2026

DTU Course on Image Analysis

This repository contains exercises and data for the DTU course on image analysis, which is an introductory course on typical methods used in image analysis. The course cover a variety of methods but does not go into deep learning.

The course exists in different version (per 2026) - 02503 Image Analysis : A bachelor level of the course - 02515 Image Analysis : A master level of the course

Until 2025 there was a combined bachelor and master level course with the DTU Course number 02502. For legal reasons, DTU is no longer allowed to offer combined bachelor and master level courses.

Exercises

• 1 - Introduction to image analysis in Python
• 1b - An introduction to principal component analysis (PCA)
• 2 - Cameras and Lenses
• 2b - Change Detection in Videos
• 3 - Pixelwise operations
• 4 - Image Filtering
• 4b - Image Morphology
• 5 - BLOB Analysis / Connected component analysis and object classification
• 6 - Pixel classification and object segmentation
• 6b - Advanced Pixel Classification
• 7 - Geometric transformations and landmark based registration
• 8 - Cats, cats, and EigenCats
• 9 - Advanced Image Registration
• 10 - Object Detection using Viola Jones
• 11 - Cameras, lenses and subpixel averaging (not in current curriculum)

Author

Rasmus R. Paulsen. DTU Compute (https://people.compute.dtu.dk/rapa/)

License

This work is licensed under a Creative Commons Attribution 4.0 International License.