Vision par ordinateur - KAIE9M22

  • Number of hours

    • Lectures 16.0
    • Projects -
    • Tutorials 16.0
    • Internship -
    • Laboratory works 12.0
    • Written tests -

    ECTS

    ECTS 0.5

Goal(s)

This course covers the basics of digital image processing, from acquisition to representation, coding and use of the image for a given application.

Content(s)

  • Defining a digital image: knowing how to acquire, define resolution and the number of grey levels or colours. Understanding the different colour spaces. Fourier representation of a digital image.
  • 2D linear digital filtering: Processing digital images to enhance and restore an image.
  • Non-linear image filtering: Order filters, morphological filters.
  • Region and contour segmentation: Extracting information from an image (shapes, measurements, decisions, etc.)
  • Texture analysis.
  • Video: understanding the detection and estimation of object movement in a sequence of images.
  • Compression: reducing the amount of information needed to read images and videos properly

Test

Examen + CC

Calendar

The course exists in the following branches:

  • Curriculum - IESE - Semester 9

Additional Information

Course ID : KAIE9M22
Course language(s): FR

You can find this course among all other courses.

Bibliography

Handbook of Image & Video Processing Al Bovik – 2000 - Academic Press
Second Edition - 2007

-Digital Image Processing (2nd Edition) R.C. Gonzalez & R.E. Woods - 2002