Module Handbook

  • Dynamischer Default-Fachbereich geändert auf INF

Course INF-73-53-K-6

2D Image Processing (2V+1U, 4.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K Lecture with exercise classes (V/U) 4.0 CP 78 h
2 V Lecture 28 h
1 U Exercise class (in small groups) 14 h
(2V+1U) 4.0 CP 42 h 78 h

Basedata

SWS 2V+1U
CP, Effort 4.0 CP = 120 h
Position of the semester 1 Sem. in WiSe/SuSe
Level [6] Master (General)
Language [EN] English
Lecturers
Area of study [INF-KI] Intelligent Systems
Livecycle-State [NORM] Active

Possible Study achievement

  • Verification of study performance: proof of successful participation in the exercise classes (ungraded)
  • Details of the examination (type, duration, criteria) will be announced at the beginning of the course.

Contents

  • Imaging
  • Digital Color Images
  • Filters
  • Point, Line, Blobs detection
  • Feature descriptors
  • Matching and Tracking
  • Object and Pattern Recognition

Literature

  • Richard Szeliski: Computer Vision: Algorithms and Applications
  • Rafael C. Gonzalez, Richard E. Woods: Digital Image Processing
  • von Milan Sonka, Vaclav Hlavac, Roger Boyle: Image Processing, Analysis and Machine Vision (Englisch) Gebundene Ausgabe – 30. September 1998

Requirements for attendance (informal)

None

Requirements for attendance (formal)

None

References to Course [INF-73-53-K-6]

Module Name Context
[INF-73-53-M-6] 2D Image Processing P: Obligatory 2V+1U, 4.0 LP
Course-Pool Name
[INF-KI_V-KPOOL-6] Lectures of the teaching area Intelligent Systems