Digital Image Analysis
Prof. Rolf-Rainer Grigat

Main Study, 4 SWS lecture, Winter Semester,  Implementation in English


Announcements, discussions and Learning material can be found in the forum on StudIP.



The lecture is an introduction into the foundations of digital image processing. The lens, the image sensors, perception of brightness and color, signal-theoretical aspects (Aliasing, flares, flickering) and quite a few features are discussed.

Current sample applications are image analysis in ophthalmology, biometrics, defect search in X-ray images, restoration of large scale prints.



  • Perception of brightness and color
  • Color management
  • Three-dimensional discretization, aliasing, Moirée
  • Interpolation
  • Histogram-Equalization, binarization
  • Edge operators (Sobel, Laplace, Canny, ISEF, SUSAN)
  • Unitary Transformations (DFT, DCT, DST, WHT, KLT)
  • Motion Analysis (Correlation, pixel-recursive Search, optical river)
  • Morphologic Operators
  • Invariant features (Geometrical Moments, Integral invariants, FMT)
  • Texture Characteristics
  • Segmentation
  • Hough-Transformation
  • Restoration