Introduction to image processing
36,00 €
Image processing is a subset of computer science and electrical engineering that focuses on manipulating and enhancing images to extract information, improve visual appeal, or prepare them for computational tasks such as classification and object detection. Using algorithms and techniques, it transforms images to achieve desired outcomes, ranging from basic tasks like resizing and color adjustments to advanced operations like object detection, filtering, and segmentation. As an interdisciplinary field, image processing plays a pivotal role in various domains, including medical imaging, autonomous vehicles, satellite imagery analysis, and digital media.
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Start date
March 4, 2024
End date
March 8, 2024
Language(s) of the training
English
Languages spoken by the coach(es)
English
Instructor(s)
Nina Hosseini-Kivanani, Aria Nourbakhsh
Contents
– Why do we need Image Processing?
– Image Basics and Representation
– Pre-processing Techniques
– Applications in Machine Learning
– Performance Metrics and Evaluation
– Future Trends
Objective
In this course, we will provide the theoretical requirements for image processing. Each session will include hands-on experience coding and working on different datasets. At each practical session, we will provide feedback to the students by answering their questions and addressing the challenges that they face during the course.
Learning Outcomes
The participants will get familiar with using different well-known packages such as Scikit-image, OpenCV, Pillow, and Matplotlib. They will learn how deal with image data.
Schedule
This training has a total duration of 9 hours and takes place over 3 days:
- 04-03-2024: 14:00 – 17:00
- 06-03-2024: 14:00 – 17:00
- 08-03-2024: 14:00 – 17:00
Format and Location
This course takes place ON-SITE
Terres Rouges building
14, porte de France
L-4360 Esch/Alzette
Level
Beginner
Prerequisites
– Basic of Python
– Basic of algebra
Additional Info
Certification
This training does not have any assessment or exams; a certificate of participation will be issued to participants.
Esco Skills
Python (computer programming), utilise machine learning, learning technologies