Objective

The aim of the course is to give necessary knowledge of digital image analysis for further research within the area and to be able to use digital image analysis within other research areas such as computer graphics, image coding, video coding and industrial image processing problems. The aim is also to prepare the student for further studies in e.g. computer vision, multispectral image analysis and statistical image analysis.

Participants are assumed to have an interest in Image Analysis for their respective PhD research project. Participants should preferably bring one image analysis problem and data to the class to work on during the course and present progress.

Additional information

For more details, see the syllabus of FMA105F at the LTH page.

The course is similar to FMAN20 described in Canvas.

Schedule

Teaching days of the course:

• Wednesday 27 April 2022, 9-15: Lectures 9-12, Project Supervision 13-15
• Tuesday 10 May 2022, 9-15: Lectures 9-12, Project Supervision 13-15
• Wednesday 1 June 2022, 9-15: Lectures 9-12, Project Supervision 13-15

Work on your own image analysis problem in between the teaching days and after.

Project presentations:

• Wednesday 15 June 2022, 9 -12

Course coordinator

Kalle Åström

Registration

To register, please fill in the course registration form

Registration deadline 10th April 2022 (firm deadline)