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Our engineering & Master degrees
Our engineering & Master degrees

> Studies > Engineering degree

Image Processing

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  • Number of hours

    • Lectures : 20.0
    • Tutorials : 4.0
    • Laboratory works : 12.0
    ECTS : 3.0

Goals

This course covers the fundamentals of image processing operations including preprocessing.


Contact Pierre-Yves COULON

Content

  • Image formation
  • Human visual system
  • Mathematical modeling (Fourier)
  • Sampling
  • Histogram modification
  • Filtering
  • Image restoration (Wiener)
  • Edge detection
  • Mathematical morphology
  • Thresholding, EM algorithm
  • Colorimetry
  • Sensor
  • Practical work 1 : Filtering and edge detection
  • Practical work 2 : Correlation and mathematical morphology
  • Practical work 3 : Case study


Prerequisites

Fundamentals in signal processing

Tests

DS = Examination (2h, Notes and documents authorized)
CC = Reports on practical work sessions



N1 = 30%BE + 70%DS1
N2 = 30%BE + 70%DS2

Additional Information

Curriculum->SICOM->Semester 3

Bibliography

M. Kunt, G. Granlund, M. Kocher, " Traitement numérique des images", PPUR, Lausanne, 1993.

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Université Grenoble Alpes