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| ELEN0016-2 | Digital image and video processing
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| Duration : | 30h Th, 10h Pr, 20h Proj. |
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| Number of credits : |
| Master in Biomedical Engineering, research focus, 2nd year | | 5 |
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| Master in Biomedical Engineering, research focus, 2nd year | | 5 |
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| Master in Electrical Engineering, research focus, 2nd year | | 5 |
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| Master in Electrical Engineering, research focus, 2nd year | | 5 |
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| Master of science in computer science and engineering, research focus, 1st year | | 5 |
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| Master of science in computer science and engineering, research focus, 2nd year | | 5 |
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| Master in Computer science, Research Focus, 1st year | | 5 |
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| Master in Computer science, Research Focus, 1st year | | 5 |
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| Master of science in computer science and engineering, professional focus in management, 1st year | | 5 |
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| Master in Computer Science, Professional Focus (Management), 1st year | | 5 |
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| Master in Computer Science, Professional Focus (Management), 1st year | | 5 |
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| Lecturer : | Marc Van Droogenbroeck |
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Language(s) of instruction :
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| English language |
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Organisation and examination :
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| Teaching in the first semester, review in January |
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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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| 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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| There are no lecture notes. Slides of the course are available on the ORBI University 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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Work placement(s) :
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Organizational remarks :
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| Please note that the course is given in english!
For any practical informations, 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 : P. Latour |
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| Items online : |
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