Information on individual educational components (ECTS-Course descriptions) per semester

  
Degree programme:Bachelor Mechatronics
Type of degree:Intern
 Special-Time
 Summer Semester 2025
  

Course unit titleImage Processing
Course unit code074703049006
Language of instructionEnglish
Type of course unit (compulsory, optional)Elective
Semester when the course unit is deliveredSummer Semester 2025
Teaching hours per week2
Year of study2025
Level of course unit (e.g. first, second or third cycle)First Cycle (Bachelor)
Number of ECTS credits allocated2
Name of lecturer(s)Daniel PRÖLL


Prerequisites and co-requisites
  • Linear algebra
  • Basic knowledge of programming in Python
Course content
  • Image capture
  • Image Capture Hardware
  • Optical basics (lenses and illumination)
  • Introduction to OpenCV, application
  • Recognition algorithms
  • Object recognition
  • Image processing and machine learning
Learning outcomes

This course is an introduction to digital image processing using the open source package OpenCV. The aim of the course is to enable students who want to deepen their knowledge in computer science to solve simple tasks in image processing.

After successful completion of the course, students will have an understanding of the basic concepts of digital image processing and knowledge of the relationships between camera, object and its image an overview of the most common recognition algorithms.

They are able to

  • select the correct recognition algorithm and
  • write software that can recognise specific structures (e.g. corners, edges, objects) in images with the help of the open source package OpenCV.
Planned learning activities and teaching methods

Integrated course with workshop character

Assessment methods and criteria

Small project with presentation

Comment

None

Recommended or required reading
Mode of delivery (face-to-face, distance learning)

Face-to-face instruction with mandatory attendance

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