Image processing

Course goals

• Knowledge of:
  • Ways of describing images, including histograms
  • Linear/non-linear filters and morphological filters
  • Image processing tasks including edge and curve detection and automatic thresholding
  • Color spaces and their relations
  • Shape descriptors, and their comparison
• Experience with:
  • Designing and deriving filters to enhance images or extract features
  • Applying filters, including morphological filters
  • Applying the Hough transform to find parameterized structures
  • Designing image processing pipelined

Assessment

• Assignments in pairs (mandatory) 

The grade of the final (E) amounts to 50% of the final grade. The assignments count for 50% of the final grade.

There is a strong mathematical component in this course. Required knowledge includes elementary knowledge of finite series, elementary statistics and linear algebra (matrices). If you lack this knowledge, you will be required to master it on your own during the course. For the assignments, experience with C# is recommended.