TIETS05 Digital Image Processing 5 ECTS
Organised by
Degree Programme in Computer Sciences
Person in charge
Professor Martti Juhola
Preceding studies
Recommended:
Data Structures, basics of statistics, basics of mathematics and Linear algebra.
Corresponding course units in the curriculum
School of Information Sciences
Curricula 2015 – 2017
TIETS05 Digital Image Processing 5 ECTS

Learning outcomes

After completing the course the student is expected to know the basics of digital image processing.

Contents

Image enhancement and restoration, such as filtering, colour image processing, image compression and segmentation, and morphological image processing are considered.

Teaching methods

Teaching method Contact Online
Lectures 24 h 0 h
Exercises 10 h 0 h

Teaching language

Finnish

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Participation in course work 
In Finnish
Option 2
Available for:
  • Degree Programme Students
  • Other Students
  • Open University Students
  • Doctoral Students
  • Exchange Students
Self-studying, weekly excercises and exam   Participation in course work 
In English

Evaluation

Numeric 1-5.

Belongs to following study modules

Faculty of Natural Sciences
Faculty of Natural Sciences
Faculty of Natural Sciences
Faculty of Natural Sciences
2017–2018
Teaching
-
Faculty of Natural Sciences