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Image processing 1

10H30 lessons + 14H PW

Coefficient 1.5

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, Fourier transform
  • Restoration : denoising, deconvolution, quality metrics
  • Feature detection (contours, lines, points …)
  • Binary image processing, mathematical morphology
  • Segmentation
  • Pattern recognition


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.


image_processing_1.1467100319.txt.gz · Dernière modification: 2020/10/21 11:18 (modification externe)