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VO Digital Image Processing

Learning Outcome

Comprehension of methods and application for image based measurement techniques including space based and specrum based procedures; basics of human and biological vision; industrial application examples; morphological operations; object recognition

Course Content

  • Selection of scene illumination including the problem of shadows
  • Image acquisition and components of optical systems
  • Two-dimensional sampling process (CCD sensor)
  • Image transformation in spatial and frequency domain
  • Image enhancement (noise reduction, sub pixel resolution, etc.)
  • Digital filtering and reconstruction (e.g. Wiener Filter)
  • Image analysis and computer vision (morphological operation)
  • 2D and 3D data acquisition from image data

Learning Methods and Activities

Theory presented by lecturer, home exercises, oral final exam


Oral final exam – home exercises have to be handed in during the term


  • Lecture notes: Digitale Bildverarbeitung (Teilskriptum)
  • Rafael C. Gonzalez, Richard E. Woods: Digital Image Processing 2nd Ed., Prentice Hall, Inc., Englewood Cliffs, 2002, ISBN: 0-20-118075-8
  • Anil K. Jain: Fundamentals of Digital Image Processing, Prentice Hall, Inc., 1988, Englewood Cliffs, ISBN: 0-13-336165-9