Introduction to Computer Vision – EIT Digital Icarus Education

Home » Courses » Introduction to Computer Vision

Computer Vision is one of the primary fields of Artificial Intelligence (AI), aiming to allow machines to interpret complex scenes based on images, videos, or similar structured input data. The aim of this course is to give an overview of the various topics of this vast field, first by introducing traditional computer vision and its methods. In the second part of the course the modern deep learning-based approaches are introduced as well.

Course Content

Traditional Vision Pt 1. - Imaging and Image Correction

1.1. Introduction – Imaging and Image Representation

1.2. Image Correction

Traditional Vision Pt 2. - Feature Extraction and Analysis

2.1. Image Features

2.2. Segmentation

2.3. Binary Images

Learning Vision

3.1. Neural Networks

Neural Network Demo

3.2. Convolutional Neural Networks

About Instructor

Marton Szemenyei

1 Course

About Us

EIT Digital invests in strategic areas to accelerate the market uptake and scaling of research-based digital technologies (deep tech) focusing on Europe’s key societal challenges: Digital Tech, Digital Cities, Digital Industry, Digital Wellbeing, and Digital Finance.

E-Learning

EIT Digital provides online and blended Innovation and Entrepreneurship education to raise quality, increase diversity and availability of the top-level content provided by our partner network of leading technical universities around Europe.

EU Collaborations

EIT Digital is at the centre of digital in Europe and works with other EU organisations, such as the European Innovation Council, the European Central Bank and the European Investment Fund.

ICARUS AI

ICARUS AI is a fully customizable AI enabled e-learning platform.

© 2025 EIT DIGITAL – All rights reserved.