Introduction to image processing
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.
20 in stock
March 4, 2024
March 8, 2024
Language(s) of the training
Languages spoken by the coach(es)
Nina Hosseini-Kivanani, Aria Nourbakhsh
– Why do we need Image Processing?
– Image Basics and Representation
– Pre-processing Techniques
– Applications in Machine Learning
– Performance Metrics and Evaluation
– Future Trends
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.
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.
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
– Basic of Python
– Basic of algebra
This training does not have any assessment or exams; a certificate of participation will be issued to participants.