700.302 (13W) Lab "Fundamentals of Image Processing"

Wintersemester 2013/14

Registration deadline has expired.

First course session
01.10.2013 11:00 - 13:00 L4.1.02 (ICT Lab) Off Campus

... no further dates known

Overview

Lecturer

Course title german

Labor "Fundamentals of Image Processing"

Type

Course (continuous assessment course )

Hours per Week

2.0

ECTS credits

3.0

Registrations

16 (30 max.)

Organisational unit

Institut für Intelligente Systemtechnologien

Language of instruction

English

Course begins on

01.10.2013

Time and place

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Course Information

German

Course content

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.

Topics

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)

Teaching objective

Build smart vision systems using Matlab

Prior knowledge expected

Basics in Mathematic, Familiar with Matlab programming or .NET

Literature

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

Examination information

Im Fall von online durchgeführten Prüfungen sind die Standards zu beachten, die die technischen Geräte der Studierenden erfüllen müssen, um an diesen Prüfungen teilnehmen zu können.

German

Assessment criteria / Standards of assessment for examinations

Project + Presentation

Grading scheme

Grade / Grade grading scheme

Position in the curriculum

Bachelor's degree programme Applied Informatics (SKZ: 511, Version: 12W.1)
- Subject: Information Technology (Compulsory elective)
  - Bildverarbeitung ( 2.0h KU / 3.0 ECTS)
    - 700.302 Lab "Fundamentals of Image Processing" (2.0h KU / 3.0 ECTS)

Bachelor's degree programme Information Technology (SKZ: 289, Version: 12W.2)
- Subject: Informationstechnische Vertiefung (Compulsory elective)
  - Wahl von Lehrveranstaltungen ( 0.0h VK/VO/KU / 6.0 ECTS)
    - 700.302 Lab "Fundamentals of Image Processing" (2.0h KU / 3.0 ECTS)

Bachelor's degree programme Information Technology (SKZ: 289, Version: 12W.2)
- Subject: Freie Wahlfächer (Optional subject)
  - Freie Wahlfächer ( 0.0h XX / 10.0 ECTS)
    - 700.302 Lab "Fundamentals of Image Processing" (2.0h KU / 3.0 ECTS)

Bachelor's degree programme Information Technology (SKZ: 289, Version: 09W.2)
- Subject: Informationstechnische Vertiefung (Compulsory subject)
  - Lehrveranstaltungen im Umfang von 9 ECTS ( 6.0h VK,VO,KU / 9.0 ECTS)
    - 700.302 Lab "Fundamentals of Image Processing" (2.0h KU / 3.0 ECTS)

Bachelor's degree programme Information Technology (SKZ: 289, Version: 09W.2)
- Subject: Freie Wahlfächer (Optional subject)
  - Freie Wahlfächer ( 0.0h XX / 18.0 ECTS)
    - 700.302 Lab "Fundamentals of Image Processing" (2.0h KU / 3.0 ECTS)

Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
- Subject: Major Field of Specialization (Intelligent Transportation Systems) (Compulsory subject)
  - 1.4-1.5 Exercises or Lab ( 4.0h KU / 6.0 ECTS)
    - 700.302 Lab "Fundamentals of Image Processing" (2.0h KU / 3.0 ECTS)

Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
- Subject: Major Field of Specialization (Media Engineering) (Compulsory subject)
  - 1.4-1.5 Exercises or Lab ( 4.0h KU / 6.0 ECTS)
    - 700.302 Lab "Fundamentals of Image Processing" (2.0h KU / 3.0 ECTS)

Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
- Subject: Additional Technical Module II (Compulsory subject)
  - 3.4-3.5 Exercises or Lab ( 4.0h KU / 6.0 ECTS)
    - 700.302 Lab "Fundamentals of Image Processing" (2.0h KU / 3.0 ECTS)

Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
- Subject: Research Track (Methodological focus) (Compulsory subject)
  - 4.2'-4.3' Theoretical methodological courses I/II ( 0.0h VO/VK/VS/KU/PS / 6.0 ECTS)
    - 700.302 Lab "Fundamentals of Image Processing" (2.0h KU / 3.0 ECTS)

Master's degree programme Information Technology (SKZ: 489, Version: 06W.3)
- Subject: Electives (Optional subject)
  - Diverse Lehrveranstaltungen ( 0.0h VO/VK/VS/KU/PS / 12.0 ECTS)
    - 700.302 Lab "Fundamentals of Image Processing" (2.0h KU / 3.0 ECTS)

Equivalent courses for counting the examination attempts

Wintersemester 2023/24

700.302 KS Lab: Fundamentals of Image Processing (2.0h / 3.0ECTS)

Wintersemester 2022/23

700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)

Wintersemester 2021/22

700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)

Wintersemester 2020/21

700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)

Wintersemester 2019/20

700.302 KS Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)

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 2012/13

700.302 KU Labor "Fundamentals of Image Processing" (2.0h / 3.0ECTS)