Phelma Formation 2022

Image processing - VPMDIPR1

  • Number of hours

    • Lectures 9.0
    • Projects 0
    • Tutorials 8.0
    • Internship 0
    • Laboratory works 16.0
    • Written tests 0

    ECTS

    ECTS 6.0

Goal(s)

  • The objective of this course is to provide a complete and comprehensive introduction to the field of image processing, which can be applied in many areas such as computer vision, medical imaging, AI, etc.
  • The course covers the transition from a 1-D signal to a 2-D image, explains the basics of image processing, and illustrates how various image transformations such as edge detection and blurring are implemented as image filters using convolution. The course will show some examples where image processing is used.
Contact Dawood AL CHANTI

Content(s)

  • In this course, we will cover mainly the following subject:
    1. Imags and Histograms
    2. Image Enhancement
    3. Edge Detection
    4. Image Filtering
    5. Morphological Operators
    6. Image Segmentation
    7. Image Processing via Deep Learning
  • However, depending on the level of the students, content may be adjusted to include some applocations.


Prerequisites
  • Fundamentals in signal processing
  • Fundamental in Python programming

Test

Semester 8 - The exam is given in english only 

    1. 1st session : Continous assessment + report
    2. 2nd session : Continous assessment + report


Session 1
50% CC + 50% rapports

Session 2
50% CC + 50% rapports

Additional Information

Semester 8 - This course is given in english only EN

Course list
Curriculum->Master->Semester 8

Bibliography

Handbook of image and video processing, Al Bovik, 2000, Academic press
Images numériques couleur : de l'acquisition au traitement, A. Tremeau, C. Fernandez-Maloigne, P. Bonton, 2004, Dunod
Introduction au traitement d'images, Gilles Burel, 2001, Hermès
Traitement et analyse des images numériques, S. Bres, J.M. Jolion, F. Lebourgeois, 2003, Hermès