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.
- 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
Rasmus R. Paulsen. DTU Compute (https://people.compute.dtu.dk/rapa/)
This work is licensed under a Creative Commons Attribution 4.0 International License.
