Medical image processing - KATI9M17

Informations générales

  • Number of hours

    • Lectures 12.0
    • Projects -
    • Tutorials 18.0
    • Internship -
    • Laboratory works -
    • Written tests 2.0

    ECTS

    ECTS 0.5

Goal(s)

Understanding the various image processing techniques from acquisition to features extraction and the use of images in the medical world.

Content(s)

  • Introduction : sampling and quantization
  • Low-level image processing
  • linear filtering (spatial and frequential)
  • non-linear filtering
  • edge segmentation (Hough transform)
  • region segmentation (morphological methods, split and merge algorithms)
  • image indexation

Test

50% continuous assessment
50% final examination:

  • Examination lasting 2 hours
  • In the event of third-party time: adapted subject
    If a UE is not validated, the jury may authorise the student engineer to take additional tests to validate it.

Calendar

The course exists in the following branches:

  • Curriculum - TIS - Semester 9

Additional Information

Course ID : KATI9M17
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