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151-0105-00L 4 Credits BSC , MSC D-HEST , D-MAVT , D-PHYS , D-MATH , D-ITET
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Quantitative Flow Visualization

Lecturers & Examiners: Prof. em. Dr. Thomas Rösgen
VVZ CR n/a

Last Updated: 2026-02-05 15:48:30

Abstract

The course provides an introduction to digital image analysis in modern flow diagnostics. Different techniques which are discussed include image velocimetry, laser induced fluorescence, liquid crystal thermography and interferometry. The physical foundations and measurement configurations are explained. Image analysis algorithms are presented in detail and programmed during the exercises.

Objective

Introduction to modern imaging techniques and post processing algorithms with special emphasis on flow analysis and visualization. Understanding of hardware and software requirements and solutions. Development of basic programming skills for (generic) imaging applications.

Content

Fundamentals of optics, flow visualization and electronic image acquisition. Frequently used mage processing techniques (filtering, correlation processing, FFTs, color space transforms). Image Velocimetry (tracking, pattern matching, Doppler imaging). Surface pressure and temperature measurements (fluorescent paints, liquid crystal imaging, infrared thermography). Laser induced fluorescence. (Digital) Schlieren techniques, phase contrast imaging, interferometry, phase unwrapping. Wall shear and heat transfer measurements. Pattern recognition and feature extraction, proper orthogonal decomposition.

Resources

Lecture Notes

Handouts will be made available.

General Information

Language
English
Levels
BSC , MSC

Examination

Type
session examination
Mode
oral 30 minutes
This course will be offered for the last time in the Autumn Semester 2021. The examination can be taken/repeated for the last time in the Summer Session 2022.

Course Components

Type Title Time & Place Hours
lecture with exercise Quantitative Flow Visualization
This course will be offered for the last time in Autumn Semester 2021.
  • Tue 10:15-13:00 (ML H 41.1)
3 h weekly

Offered In