CETS8AH Tools for Image Processing and Analysis
| ECTS Credits: 2 Duration: 21 hours
| Semester: S8 | ||
Person(s) in charge: Bart LAMIROY, Assistant Professor, bart.lamiroy@mines.nancy.univ-lorraine.fr | ||||
Keywords: image processing
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Prerequisites: basic algorithmic, imperative programming, mathematics (math'sup level) | ||||
Goal: understand the mathematical and algorithmic methods that are the basis for automatically processing images | ||||
Program and contents: The contents of this course are based on the engineering requirements for image processing that have been collected. There are numerous fields where images are used and where analyzing them is of great use: analysis of material surfaces, geostatistics, analysis of medical images, monitoring production processes or quality analysis, for example. What are the underlying difficulties (mathematics, algorithms, modeling, etc.) for implementing an automatic analysis of images and how can this be accomplished in a methodical and scientific way? In reality, it is possible to describe an image as the result of a projection and sampling process or discretizations of a continuous three-dimensional reality or it can even be considered as an inherently discrete object. Depending on the approach, images can be analyzed from a signal processing standpoint, or from that of mathematical morphology. All these approaches will be addressed from a theoretical point of view in class and will be implemented in concrete terms on experimental platforms that only require a minimal skill (but that are nonetheless real) in Matlab (or equivalent) programming. The following will be addressed:
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Abilities: | ||||
Levels | Description and operational verbs | |||
Know |
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Understand |
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Apply |
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Analyze |
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Summarize |
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Assess |
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Evaluation: | ||||
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Cet espace sera supprimé le 31 janvier 2024 - Pour toutes questions, vous pouvez nous contacter sur la liste wikidocs-contact@univ-lorraine.fr
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