Course code TPT01
Course title Image Processing
Institution TELECOM ParisTech
Course address Télécom ParisTech, 46 rue Barrault - 75013 Paris
City Paris
Minimum year of study 4th year
Minimum level of English Fair
Minimum level of French None
Key words Image processing, filtering, segmentation, pattern recognition, coding, satellite and medical applications
Language English
Professor responsible Florence TUPIN
Telephone + 33 (0) 1 45 81 72 45
Fax + 33 (0) 1 45 81 37 94
Email florence.tupin@telecom-paristech.fr
Participating professors @font-face { font-family: "Cambria"; }p.MsoNormal, li.MsoNormal, div.MsoNormal { margin: 0cm 0cm 10pt; font-size: 12pt; font-family: Cambria; }div.Section1 { page: Section1; } professors from the Signal and Image Departement of Telecom ParisTech
Number of places Minimum: 10, Maximum: 30, Reserved for local students: 7
Objectives @font-face { font-family: "Cambria"; }p.MsoNormal, li.MsoNormal, div.MsoNormal { margin: 0cm 0cm 10pt; font-size: 12pt; font-family: Cambria; }div.Section1 { page: Section1; }

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. All along the week, a team project will give the students the opportunity to discuss, practice and develop their skills in the image processing domain. It will be done in computer rooms with PC workstations using  MATLAB©software.

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



Programme to be followed @font-face { font-family: "Cambria"; }p.MsoNormal, li.MsoNormal, div.MsoNormal { margin: 0cm 0cm 10pt; font-size: 12pt; font-family: Cambria; }div.Section1 { page: Section1; }

The lectures will cover the following topics:
- linear filtering,
- segmentation,
- mathematical morphology,
- psychophysiology of vision,
- image coding and compression,
- pattern recognition,
- applications in satellite and medical imaging.

 



Prerequisites Basic knowledge in signal processing, applied mathematics, and probability.

Course exam @font-face { font-family: "Cambria"; }p.MsoNormal, li.MsoNormal, div.MsoNormal { margin: 0cm 0cm 10pt; font-size: 12pt; font-family: Cambria; }div.Section1 { page: Section1; }

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

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