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Informatique et Mathématiques appliquées
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> Formation > Cursus ingénieur

Advanced imaging - 5MM2536G

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  • Number of hours

    • Lectures : 18.0
    ECTS : 1.5

Goals

The objective of this course is to tackle different areas of image processing such as: image restoration, edge detection, segmentation, and compression trying to put forward the versatility of some tools like partial differential equations for various purposes.

Contact Sylvain MEIGNEN

Content

In this course, we will more precisely tackle the following aspects of image processing:

  • Image restoration (Wiener filter (discrete, continuous), algebric formulation of filtering, nonlinear filtering with wavelets)
  • Edge dectection (Canny's algorithm, active contour method)
  • Nonlinear filtering and image segmentation (Heat Equation, Anisotropic diffusion)
  • Multiresolution aspect of Image Processing (Compression)


Prerequisites

First year course on mathematical analysis, differential calculus

Tests

Semester 5 - The exam is given in english only 

The understanding of this course will be assessed through a written examination at the end of the semester.



Note Finale: Examen final sur 20 (examen écrit)

Si session 2: Note finale: Note session 2 (examen écrit)

Additional Information

Semester 5 - This course is given in english only EN

Curriculum->Math. Modelling, Image & Simulation->Semester 5

Bibliography

Analyse d'images: Filtrage et Segmentation, J-P. Coquerez et S. Philipp, Masson

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Date of update January 15, 2017

Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes