Descriptif

Ce cours n'est pas ouvert aux élèves inscrits en IMA201

The objective of this course is to provide students with an introduction to digital image processing techniques and applications, from fundamental, algorithmic and practical points of view.

In addition to a series of lectures, practical works sessions are organized to guide the students towards a better understanding of the theoretical concepts and the implementation of the various image processing methods on real-case images. During the week, a team project will also give the students the opportunity to discuss, practice and develop their skills in the image processing domain. Practical works and project will be done in computer rooms with PC workstations using Python with jupyter notebooks.

Theoretical lectures represent about half of the course, the other half being reserved to the practical works and team project.

Programme to be followed:

The lectures will cover the following topics:
- linear filtering,

- radiometry, colorimetry

- Bayesian analysis

- restoration and patch-based methods
- segmentation,
- mathematical morphology,
- applications in medical imaging, introduction to computer graphics.

Course exam:

The last afternoon is dedicated to evaluations (presentation of the project, questions on the courses) and concluding discussions.