700.304 (18W) Fundamentals of Image Processing

Wintersemester 2018/19

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Erster Termin der LV
03.10.2018 17:00 - 19:00 , B04.1.06
... keine weiteren Termine bekannt

Überblick

Lehrende/r
LV-Titel englisch
Fundamentals of Image Processing
LV-Art
Vorlesung-Kurs (prüfungsimmanente LV )
Semesterstunde/n
2.0
ECTS-Anrechungspunkte
4.0
Anmeldungen
26 (50 max.)
Organisationseinheit
Unterrichtssprache
Englisch
LV-Beginn
03.10.2018
eLearning
zum Moodle-Kurs

LV-Beschreibung

Intendierte Lernergebnisse

This is an introductory course to the fundamentals of digital image processing. It provides the basic concepts to learn how to process an image in order to extract the desired information out of it.

By the end,  students should:

  • be able to apply the basic methods of image processing,
  • have a good understanding of image features and object recognition,
  • be able to apply the acquired knowledge of image processing to solve related industrial and research  problems.

Lehrmethodik

The fundamentals will be presented according to well-known literature and references. An extension to the basics and further details will be presented interactively according to the potentials of the students.

Inhalt/e

  • Understanding the concept of image (e.g., camera technology, digital images, image types and representation, thermal images)
  • Simple image manipulations (e.g., color depth, size, cropping)
  • Lens distortion – Camera calibration
  • Image filtering and convolutions
  • Morphological transformation and thresholding
  • Geometric transformations
  • Feature detection
  • Image registration and stitching
  • Image restoration (e.g., de-blurring, interpolations, Fourier domain)

Erwartete Vorkenntnisse keine Anmeldevoraussetzung

Basic knowledge of Mathematics (matrices and their operations).

Literatur

  • Digital Image Processing (third Edition); Rafael C. Gonzalez, Richard E. Woods.
  • Computer Vision: Algorithms and Applications; Richard Szeliski.

Intendierte Lernergebnisse

This is an introductory course to the fundamentals of digital image processing. It provides the basic concepts to learn how to process an image in order to extract the desired information out of it.

By the end,  students should:

  • be able to apply the basic methods of image processing,
  • have a good understanding of image features and object recognition,
  • be able to apply the acquired knowledge of image processing to solve related industrial and research  problems.

Lehrmethodik

The fundamentals will be presented according to well-known literature and references. An extension to the basics and further details will be presented interactively according to the potentials of the students.

Inhalt/e

  • Understanding the concept of image (e.g., camera technology, digital images, image types and representation, thermal images)
  • Simple image manipulations (e.g., color depth, size, cropping)
  • Lens distortion – Camera calibration
  • Image filtering and convolutions
  • Morphological transformation and thresholding
  • Geometric transformations
  • Feature detection
  • Image registration and stitching
  • Image restoration (e.g., de-blurring, interpolations, Fourier domain)

Erwartete Vorkenntnisse keine Anmeldevoraussetzung

Basic knowledge of Mathematics (matrices and their operations).

Literatur

  • Digital Image Processing (third Edition); Rafael C. Gonzalez, Richard E. Woods.
  • Computer Vision: Algorithms and Applications; Richard Szeliski.

Prüfungsinformationen

Prüfungsmethode/n

Written Exam.

(Class activities and answering questions will be extra points and will help if you do not perform well at the final exam).

Prüfungsinhalt/e

From the topics covered by the lectures during the course.

Beurteilungskriterien/-maßstäbe

Mainly conceptual questions with different difficulty range.

Few multiple choices may be included.

Prüfungsmethode/n

Written Exam.

(Class activities and answering questions will be extra points and will help if you do not perform well at the final exam).

Prüfungsinhalt/e

From the topics covered by the lectures during the course.

Beurteilungskriterien/-maßstäbe

Mainly conceptual questions with different difficulty range.

Few multiple choices may be included.

Beurteilungsschema

Note/Grade Benotungsschema

Position im Curriculum

  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 17W.1)
    • Fach: Informationstechnik (Wahlfach)
      • 2.6 Bildverarbeitung ( 2.0h VC / 3.0 ECTS)
        • 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
          Absolvierung im 5. Semester empfohlen
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 12W.1)
    • Fach: Informationstechnik (Wahlfach)
      • Bildverarbeitung ( 2.0h VO / 3.0 ECTS)
        • 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Informationstechnik (SKZ: 289, Version: 17W.1)
    • Fach: Informationstechnische Vertiefung (Wahlfach)
      • 10a.3 Wahl von Lehrveranstaltungen ( 0.0h VO/VC/KS/UE / 6.0 ECTS)
        • 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
  • Bachelorstudium Informationstechnik (SKZ: 289, Version: 12W.2)
    • Fach: Informationstechnische Vertiefung (Wahlfach)
      • Wahl von Lehrveranstaltungen ( 0.0h VK/VO/KU / 6.0 ECTS)
        • 700.304 Fundamentals of Image Processing (2.0h VC / 3.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Information and Communications Engineering: Supplements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Technical Complements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Information and Communications Engineering: Supplements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 4) ( 0.0h VK, VO, KU / 14.0 ECTS)
        • 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Technical Complements (NC, ASR) (Wahlfach)
      • Wahl aus dem LV-Katalog (Anhang 5) ( 0.0h VK, VO, KU / 12.0 ECTS)
        • 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)
  • Masterstudium Mathematics (SKZ: 401, Version: 18W.1)
    • Fach: Information and Communications Engineering (Wahlfach)
      • 9.4 Fundamentals of Image Processing ( 2.0h VC / 4.0 ECTS)
        • 700.304 Fundamentals of Image Processing (2.0h VC / 4.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Wintersemester 2019/20
  • 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
Wintersemester 2017/18
  • 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
Wintersemester 2016/17
  • 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
Wintersemester 2015/16
  • 700.304 VC Fundamentals of Image Processing (2.0h / 4.0ECTS)
Wintersemester 2014/15
  • 700.304 VK Fundamentals of Image Processing (2.0h / 4.0ECTS)
Wintersemester 2013/14
  • 700.304 VK Fundamentals of Image Processing (2.0h / 4.0ECTS)
Wintersemester 2012/13
  • 700.304 VK Fundamentals of Image Processing (2.0h / 4.0ECTS)