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Courses in summer term 2014 / Lecture Image Processing

The course introduces the basic concepts of image processing. Starting with basic methods of image representation, methods of feature extraction, eg of edges, textures and movement, and image analysis, eg the image segmentation, image regularization and image classification presented.

Textbooks:

  1. Milan Sonka, Vaclav Hlavac, Roger Boyle (2008): Image Processing, Analysis, and Machine Vision, Thomson.
  2. John C. Russ, J. Christian Russ (2008): Introduction to Image Processing and Analysis, CRC Press.
  3. R. C. Gonzalez, R. E Woods (2008): Digital Image Processing, Pearson.
  4. David R. Forsyth, Jean Ponce (2003): Computer Vision: a Modern Approach, Prentice Hall.
  5. G. Aubert, P. Kornprobst (2006): Mathematical Problems in Image Processing. Partial Differential Equations and the Calculus of Variations, Springer.
  6. J. R. Parker (1997): Algorithms for Image Processing and Computer Vision, Wiley.

Lecturer: Prof. Dr. Dr. Lars Schmidt-Thieme
Trainer: Carlotta Schatten
 
Lecture:
Time: Tue 8-10
Wed 8-10 (biweekly)
Location: B26
Begin: 23.04.2014
Assignment: MSc WI & IMIT
 
Tutorial:
Time: Thu 14-16
Location: B25
Begin: 01.05.2014
 
Exam:
Date: 05.08
Location:
Begin:
Length:
 
More:
Moodle:Moodle
LSF:LSF
Modul- Handbuch:MHB
Last Lecture: here