700.302 (19W) Labor "Fundamentals of Image Processing"

Wintersemester 2019/20

Anmeldefrist abgelaufen.

Erster Termin der LV
02.10.2019 16:00 - 19:00 , ICT Labor B04.1.02
Nächster Termin:
16.11.2019 09:00 - 15:00 , ICT Labor B04.1.02

Überblick

Lehrende/r
LV-Titel englisch
Labor "Fundamentals of Image Processing"
LV-Art
Kurs (prüfungsimmanente LV )
Semesterstunde/n
2.0
ECTS-Anrechungspunkte
3.0
Anmeldungen
11 (25 max.)
Organisationseinheit
Unterrichtssprache
Englisch
LV-Beginn
02.10.2019
eLearning
zum Moodle-Kurs

LV-Beschreibung

Intendierte Lernergebnisse

This is an introductory Lab. course to the fundamentals of digital image processing using MATLAB. It introduces the image processing functions and algorithms in MATLAB which enables you to apply your knowledge of image processing in real scenarios.

By the end,  students should be able to program the presented methods of image processing in MATLAB and also extend the concepts to the new applications and programming languages.

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

  • Accessing the images and data-types in MATLAB
  • Simple image manipulations (e.g., color depth, size, cropping)
  • Image filtering and convolutions
  • Morphological transformation and thresholding
  • Geometric transformations
  • Feature / Color detection
  • Image registration and stitching
  • Image restoration (e.g., de-blurring, interpolations, Fourier domain)

Erwartete Vorkenntnisse

Basic knowledge of Mathematics (matrices and their operations).

Basic knowledge of programming.

Literatur

  • Digital Image Processing using MATLAB (Second Edition); Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins,.

Intendierte Lernergebnisse

This is an introductory Lab. course to the fundamentals of digital image processing using MATLAB. It introduces the image processing functions and algorithms in MATLAB which enables you to apply your knowledge of image processing in real scenarios.

By the end,  students should be able to program the presented methods of image processing in MATLAB and also extend the concepts to the new applications and programming languages.

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

  • Accessing the images and data-types in MATLAB
  • Simple image manipulations (e.g., color depth, size, cropping)
  • Image filtering and convolutions
  • Morphological transformation and thresholding
  • Geometric transformations
  • Feature / Color detection
  • Image registration and stitching
  • Image restoration (e.g., de-blurring, interpolations, Fourier domain)

Erwartete Vorkenntnisse

Basic knowledge of Mathematics (matrices and their operations).

Basic knowledge of programming.

Literatur

Digital Image Processing using MATLAB (Second Edition); Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins,.

Prüfungsinformationen

Prüfungsmethode/n

Project assignment: You will receive couple of assignments , which you need to use the image processing functions and algorithms that you learned to solve them. You may be asked also to give an oral explanation regarding your codes.

(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

Project assignment and oral explanation.

Prüfungsmethode/n

Project assignment: You will receive couple of assignments , which you need to use the image processing functions and algorithms that you learned to solve them. You may be asked also to give an oral explanation regarding your codes.

(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

Project assignment and oral explanation.

Beurteilungsschema

Note/Grade Benotungsschema

Position im Curriculum

  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 19W.1)
    • Fach: Informationstechnik (Wahlfach)
      • 8.3 Informationstechnik ( 0.0h XX / 12.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
          Absolvierung im 4., 5., 6. Semester empfohlen
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 17W.1)
    • Fach: Informationstechnik (Wahlfach)
      • 2.6 Bildverarbeitung ( 2.0h KS / 3.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
          Absolvierung im 5. Semester empfohlen
  • Bachelorstudium Angewandte Informatik (SKZ: 511, Version: 12W.1)
    • Fach: Informationstechnik (Wahlfach)
      • Bildverarbeitung ( 2.0h KU / 3.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 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)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 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)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 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)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 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)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 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)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

Wintersemester 2018/19
  • 700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2015/16
  • 700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2014/15
  • 700.302 KU Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2013/14
  • 700.302 KU Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)
Wintersemester 2012/13
  • 700.302 KU Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)