Inhalt

[ 481VMRSBIVK22 ] KV Image Processing

Versionsauswahl
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Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M - Master's programme Mechatronics Marco Da Silva 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechatronics 2025W
Learning Outcomes
Competences
Students are able to independently analyse basic and advanced tasks in digital image processing, select and apply suitable methods, and interpret and generalise the results. They are further able to understand the interaction of hardware and software components in image processing systems and take this into account when developing applications.
Skills Knowledge
Specifically, they are capable of:

  • analysing image processing tasks and selecting appropriate methods to solve them (k4, k5),
  • comprehending the domains of application of image-based measurement methods and identifying suitable software solutions (k5),
  • implementing image processing applications using commercial software and evaluating the results in terms of their quality (k5),
  • transforming images in the spatial and frequency domain (k5),
  • performing 2D and 3D captures of objects and analyse and evaluate the resulting data (k4, k5).
This combined course integrates theoretical principles with practical laboratory exercises. Knowledge from theoretical part:

  • Fundamentals of image acquisition, image processing, and computer vision
  • Spatial and spectral domain image transformations
  • Image preprocessing and enhancement

Knowledge from labs exercises:

  • Segmentation of images
  • 3D acquisition of an object
  • Parameter Estimation, Motion Deblurring and Image Stitching
Criteria for evaluation Homeworks as well as execution and documentation of the laboratory exercises; continuous assessment during labs
Methods Lecture with blackboard and slides as well as independent preparation and implementation of laboratory exercises
Language German, English if requested
Study material R. C. Gonzalez, R.E. Woods. Digital Image Processing, 4th Ed., Pearson, 2018. ISBN: 9780133356724

J. Beyerer, F.P. León, C. Frese. Automatische Sichtprüfung. Springer, 2016. ISBN: 9783662477861

Skript zu Laborübungen "Practical Course: Digital Image Processing"

Changing subject? No
Corresponding lecture (*)MEMWDVODIBV: VO Digitale Bildverarbeitung (3 ECTS)
On-site course
Maximum number of participants 10
Assignment procedure Assignment according to sequence