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| ELEN0016-1 | Digital Image Processing
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| Duration : | 30h Th, 30h Pr |
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| Number of credits : |
| Master in Biomedical Engineering, in-depth approach, 2nd year | | First semester | | 5 |
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| Master in Electrical Engineering, in-depth approach, 2nd year | | First semester | | 5 |
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| Master of science in computer science and engineering, in-depth approach, 2nd year | | First semester | | 5 |
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| Master in Computer science, Research Focus, 1st year | | First semester | | 6 |
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| Master in Computer Science, Professional Focus (Management), 1st year | | First semester | | 6 |
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| Master in Computer science | | First semester | | 6 |
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| Lecturer : | Marc Van Droogenbroeck |
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Language(s) of instruction :
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| French language |
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Course contents :
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| Contents: introduction, unitary transforms, linear filtering and deconvolution, mathematical morphology, non-linear filtering, features extraction and border detection, texture, enhancement and restoration, shape analysis, image segmentation, industrial applications, motion detection |
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Learning outcomes of the course :
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| This course introduces to the major techniques used in image processing. Theoretical and practical aspects of image processing are discussed in details, with a focus on industrial applications.
At the end of the course, students will be able to:
- master the notion of an image;
- understand the major image processing techniques;
- design a complete image processing chain with a practical aim.
Exercise sessions, laboratory sessions and a large homework will help the students in developing more general skills like the capacity to evaluate tools, the conception of complete chain from the specifications to the realization, and team working. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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- The student shall have passed a course on advanced programming.
- The student shall be familiar with signal processing concepts.
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Planned learning activities and teaching methods :
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| Face-to-face.
Apart from the theoretical course, there are :
- exercise sessions
- computer simulations
- a large project (which is compulsory) consisting in a software implementation of image processing techniques applied to a real situation
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Mode of delivery (face-to-face ; distance-learning) :
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| This course takes place during the first quadrimester.
It includes a lecture on theory and training session per week.
The project must be delivered by the end of the first semester. |
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Recommended or required readings :
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| A full paper version of the lecture notes is available and can be bought at the AEES. It is also possible to download the slides (shown during the course) on the web site :
http://www.ulg.ac.be/telecom/teaching/notes/
An up-to-date HTML version of the lecture notes is also available on this web site. |
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Assessment methods and criteria :
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| Written exam which is compulsory except if the project has been rated with a note larger or equal to 10/20.
Homework (compulsory).
This work must imperatively be given during the penultimate week of course of the first semester.
Methods of examination:
The exam is composed of theoritical questions and exercises. This is an open-book exam. |
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Organizational remarks :
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| For any practical informations (course timetables, notes (HTML version), slides, evaluation details), follow http://www.ulg.ac.be/telecom |
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Contacts :
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| Teacher : M. Van Droogenbroeck (04/366 26 93)
Secretary : 04/ 366 26 91
Assistant : V. Pierlot(vpierlot@ulg.ac.be (04/366 27 93)) |
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| Items online : |
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| Traitement numérique d'images |
| Notes de cours complètes sous la forme de pages Web. |
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