Digital image processing (5 cr)

Code: IT00EC07-3001

General information

Enrollment: 06.04.2023 - 21.04.2023
Registration for the implementation has ended.

Timing: 04.09.2023 - 15.12.2023
Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 5 cr

Mode of delivery: Contact learning

Unit: Department of Information Technology

Campus: Mikkeli Campus

Teaching languages: English

Seats: 20 - 40

Degree programmes: Degree Programme in Information Technology

Teachers: Reijo Vuohelainen

Teacher in charge: Reijo Vuohelainen

Groups: ITMI20SP
Information technology, full-time studies

Course: IT00EC07

No reservations found for realization IT00EC07-3001!

Objective

You understand the possibilities of digital image processing and its algorithms. You can program basic image processing operations with some scripting language.

Content

What are image histrograms?
How can you threshold images?
How can you sharpen images?
How can Fourier transforms be used in image processing?

Course material

Digital Image Processing, Gonzalez, Woods, Eddins, Prentice Hall, 3th or 4th. edition.
Course materials are given on Learn platform.
Modern AI based tools which can be found on Internet.

Study forms and methods

You will attend teaching and guidance sessions as specified in the weekly schedule.
Your study routine is determined by the scheduled group sessions and by the self-study assignments.

RDI and work-related cooperation

International cooperation

No mandatory co-operation

Student workload

135 h, of which about 20 hours are worked in a classroom, labs and exams. Homeworks, exam preparations and report writing takes the rest of the time.

Course part description

On Learn platform

Evaluation scale

1-5

Assessment methods and criteria

Participating to the course work, homework assignments and hands on excercises on campus.

Qualifications

Discrete mathematics
Python programming and data processing