700.302 (15W) Labor "Fundamentals of Image Processing"

Wintersemester 2015/16

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Überblick

Lehrende/r
LV-Titel englisch
Lab "Fundamentals of Image Processing"
LV-Art
Kurs (prüfungsimmanente LV )
Semesterstunde/n
2.0
ECTS-Anrechungspunkte
3.0
Anmeldungen
14 (30 max.)
Organisationseinheit
Unterrichtssprache
Englisch
LV-Beginn
01.10.2015
eLearning
zum Moodle-Kurs

Zeit und Ort

Tag von - bis Raum Details
Di, 06.10.2015 14:00 - 18:00 L4.1.02 ICT-Lab Einzeltermin
Di, 20.10.2015 14:00 - 18:00 L4.1.02 ICT-Lab Einzeltermin
Di, 03.11.2015 14:00 - 18:00 L4.1.02 ICT-Lab Einzeltermin
Di, 17.11.2015 14:00 - 18:00 L4.1.02 ICT-Lab Einzeltermin
Di, 01.12.2015 14:00 - 18:00 L4.1.02 ICT-Lab Einzeltermin
Di, 15.12.2015 14:00 - 18:00 L4.1.02 ICT-Lab Einzeltermin
Di, 12.01.2016 14:00 - 18:00 L4.1.02 ICT-Lab Einzeltermin
Di, 26.01.2016 14:00 - 18:00 L4.1.02 ICT-Lab Einzeltermin

LV-Beschreibung

Inhalt/e

This Lab delivers an overview of machine vision and image processing. Our focus will be in some basic and advanced methods such us Image enhancement, Houch transform , Edge detection, face detection. Handwriting recognition, Active apprience modeling, 3D reconstruction. and image enhancement.

Inhalt/e

This Lab delivers an overview of machine vision and image processing. Our focus will be in some basic and advanced methods such us Image enhancement, Houch transform , Edge detection, face detection. Handwriting recognition, Active apprience modeling, 3D reconstruction. and image enhancement.

Themen

  • Introduction to Machine Vision
  • Spatial & Frequency domain
  • Image filtering
  • Edge detection and low level segmentation
  • Object description and representation
  • Image restoration
  • Advanced filtering techniques (Diffusion filtering).
  • Advanced Segmentation Methods (Mean shift, Active contours, Watersheds)
  • Camera vision (2D&3D)
  • Motion estimation and object tracking(Kalman Tracking, Optical Flow)
  • Visual Pattern Recognition (PCA, LDA, SVM,ANN)
  • Statistical Shape Modeling (AAM,ASM)

Lehrziel

Build smart vision systems using C#/C++

Erwartete Vorkenntnisse keine Anmeldevoraussetzung

Basics in Mathematic, Familiar with .NET programming

Literatur

Book-1: Digital Image Processing (2nd Edition) • Publisher: Prentice Hall; 2nd edition (January 15, 2002) Language: English ISBN-10: 0201180758 ISBN-13: 978-0201180756 Book-2: Image Processing: The Fundamentals • Publisher: Wiley; 2 edition (May 17, 2010) • Language: English • ISBN-10: 047074586X • ISBN-13: 978-0470745861 Book-3: Design your own PC Visual Processing and Recognition System in C# • ISBN-10: 1907920099 • ISBN-13: 978-1907920097

Prüfungsinformationen

Beurteilungskriterien/-maßstäbe

Project + Presentation

Beurteilungsschema

Note/Grade Benotungsschema

Position im Curriculum

  • 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)
  • Masterstudium Information and Communications Engineering (ICE) (SKZ: 488, Version: 15W.1)
    • Fach: Information and Communications Engineering: Supplements (NC, ASR)
      • 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)
      • 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)
      • 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)
      • 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: Free Electives
      • Free Electives ( 0.0h XX / 6.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Bachelorstudium Informationstechnik (SKZ: 289, Version: 12W.2)
    • Fach: Informationstechnische Vertiefung
      • Wahl von Lehrveranstaltungen ( 0.0h VK/VO/KU / 6.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Bachelorstudium Informationstechnik (SKZ: 289, Version: 12W.2)
    • Fach: Freie Wahlfächer
      • Freie Wahlfächer ( 0.0h XX / 10.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Bachelorstudium Informationstechnik (SKZ: 289, Version: 09W.2)
    • Fach: Informationstechnische Vertiefung (Pflichtfach)
      • Lehrveranstaltungen im Umfang von 9 ECTS ( 6.0h VK,VO,KU / 9.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Bachelorstudium Informationstechnik (SKZ: 289, Version: 09W.2)
    • Fach: Freie Wahlfächer (Freifach)
      • Freie Wahlfächer ( 0.0h XX / 18.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Technischer Schwerpunkt (Intelligent Transportation Systems) (Pflichtfach)
      • 1.4-1.5 Kurs oder Labor ( 4.0h KU / 6.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Technische Ergänzung II (Pflichtfach)
      • 3.4-3.5 Kurs oder Labor ( 4.0h KU / 6.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Research Track (Methodischer Schwerpunkt) (Pflichtfach)
      • 4.2'-4.3' Theoretisch-Methodische Lehrveranstaltung I/II ( 0.0h VO/VK/VS/KU/PS / 6.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Freie Wahlfächer (Freifach)
      • Diverse Lehrveranstaltungen ( 0.0h VO/VK/VS/KU/PS / 12.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)
  • Masterstudium Information Technology (SKZ: 489, Version: 06W.3)
    • Fach: Technischer Schwerpunkt (Media Engineering) (Pflichtfach)
      • 1.4-1.5 Kurs oder Labor ( 4.0h KU / 6.0 ECTS)
        • 700.302 Labor "Fundamentals of Image Processing" (2.0h KS / 3.0 ECTS)

Gleichwertige Lehrveranstaltungen im Sinne der Prüfungsantrittszählung

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)