Website
Curriculum

Modul CS3203

Image processing (Bildverarb)

Duration:


1 Semester
Turnus of offer:


each summer semester
Credit points:


4
Course of studies, specific field and terms:
  • Bachelor Computer Science 2012 (optional subject), specialization field bioinformatics, 6th semester
  • Bachelor Medical Informatics 2011 (compulsory), computer science, 6th semester
  • Bachelor Computer Science 2012 (compulsory), specialization field robotics and automation, 6th semester
  • Bachelor Computer Science 2012 (optional subject), central topics of computer science, 5th or 6th semester
Classes and lectures:
  • Image processing (exercise, 1 SWS)
  • Image processing (lecture, 2 SWS)
Workload:
  • 45 Hours in-classroom work
  • 55 Hours private studies
  • 20 Hours exam preparation
Contents of teaching:
  • Introduction, interest of visual information
  • Fourier transformation
  • Sampling and sampling theorem
  • Filtering
  • Image enhancement
  • Edge detection
  • Multiresolution concepts: Gaussian and Laplacian Pyramid, wavelets
  • Principles of image compression
  • Segmentation
  • Morphological image processing
Qualification-goals/Competencies:
  • Students will have basic knowledge of two-dimensional system theory.
  • They are able to describe the main techniques for image analysis and image enhancement.
  • They are able to apply the learned principles in practice.
Grading through:
  • Written or oral exam as announced by the examiner
Requires:
Responsible for this module:
Teachers:
Literature:
  • A. K. Jain: Fundamentals of Digital Image Processing - Prentice Hall, 1989
  • Rafael C. Gonzalez, Richard E. Woods: Digital Image Processing - Prentice Hall 2003
Language:
  • offered only in German
Letzte Änderung:
17.7.2019