Ci-dessous, les différences entre deux révisions de la page.
image_processing_1 [2016/06/28 09:51] etu2 |
image_processing_1 [2020/10/21 11:27] |
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- | [[Traitement des images 1|{{ : | ||
- | ====Image processing 1==== | ||
- | ---- | ||
- | ---- | ||
- | **10H30 lessons + 14H PW** | ||
- | // | ||
- | \\ | ||
- | ===Lecture goals=== | ||
- | \\ | ||
- | The goal of this course is to present an overview of the problems and methods in image processing. | ||
- | |||
- | ===Detailed outline=== | ||
- | \\ | ||
- | *Elementary tools and processing: arithmetic and logical operations, histogram, convolution, | ||
- | *Restoration : denoising, deconvolution, | ||
- | *Feature detection (contours, lines, points …) | ||
- | *Binary image processing, mathematical morphology | ||
- | *Segmentation | ||
- | *Pattern recognition | ||
- | |||
- | ===Applications=== | ||
- | \\ | ||
- | The different concepts covered by the lectures are illustrated through labs in matlab. | ||
- | |||
- | ===Acquired skills=== | ||
- | \\ | ||
- | After this course, the student will be able to … | ||
- | |||
- | *identify an image processing problem among those studied; | ||
- | *list the different image processing problems studied; | ||
- | *identify the processing applied on an image; | ||
- | *describe the studied methods, their advantages, disadvantages and assumptions; | ||
- | *implement one of the studied methods using a scientific programming language. | ||
- | \\ | ||
- | [[Version anglaise|Back]] |