Study Guide

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?

Materials

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.

Teaching 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.

Employer connections

No

International connections

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.

Content scheduling

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