Course image processing master


Responsible: Prof.Dr, Dietmar Kunz

Course

Meets requirements of following modules(MID)

Course Organization

Version
created 2012-01-05
VID 1
valid from WS 2012/13
valid to
Course identifiers
Long name image processing master
CID F07_BVA
CEID (exam identifier)

Contact hours per week (SWS)
Lecture 1
Exercise (unsplit)
Exercise (split)
Lab 1
Project
Seminar 1
Tutorial(voluntary)
Total contact hours
Lecture 15
Exercise (unsplit)
Exercise (split)
Lab 15
Project
Seminar 15
Tutorial (voluntary)
Max. capacity
Exercise (unsplit)
Exercise (split)
Lab 18
Project
Seminar 30

Total effort (hours): 150

Instruction language

  • German

Study Level

  • graduate

Prerequisites

Textbooks, Recommended Reading

Instructors

  • Prof.Dr.Dietmar Kunz

Supporting Scientific Staff

Transcipt Entry

Advanced Topics in Image Processing

Assessment

Type
wR 100 %

Total effort [hours]
wR 20

Frequency: 1/Jahr


Course components

Lecture/Exercise

Objectives

Lerninhalte (Kenntnisse)
  • ill-posed problems
  • regularization
  • iterative methode
  • mutual information
  • registration of image data

Acquired Skills

Operational Competences

Additional Component Assessment

Type

Contribution to course grade

Frequency: 1/Jahr

Lab

Objectives

Lerninhalte (Kenntnisse)

Acquired Skills
  • implement iterative image processing methds
  • test image processing methods

Operational Competences
  • prepare results
  • summarize and present results
  • assess results

Additional Component Assessment

Type
fPS not rated

Contribution to course grade
fPS 0%

Frequency: 1/Jahr

Project

Objectives

Lerninhalte (Kenntnisse)
  • reading of selected literature

Acquired Skills
  • in-depth implementation and evaluation of selected image processing method

Operational Competences
  • document results in an adequate way
  • implement algorithim from literature
  • assessment of results

Additional Component Assessment

Type
wR project documentation

Contribution to course grade
wR 100 %

Frequency: 1/Jahr

Topic-Revision: r4 - 11 Jan 2016, GeneratedContent
 
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