| TNM087 |
Image Processing and Analysis, 6 ECTS credits.
/Bildbehandling och bildanalys/
For:
MT
|
| |
Prel. scheduled
hours: 40
Rec. self-study hours: 120
|
| |
Area of Education: Technology
Main field of studies: Media Technology
|
| |
Advancement level
(G1, G2, A): G2
|
|
Aim:
The aim of the course is to give the students a theoretical and practical basis for computerized processing and analysis of digital images. After the course the student shall be able to:
- describe the fundamental properties of the human visual system and the basic photometry concepts
- describe the structure and properties of cameras
- understand and use methods for generation of HDR images
- construct and use simple linear and non-linear filters in the spatial domain
- understand the connection between the spatial domain and the frequency domain
- describe the principles of image filtering in the frequency domain
- describe and implement simple methods for image segmentation
- understand and use morphological operations on binary images
- describe different methods for representation of objects in images
- describe the principles of pattern recognition based on decision functions
|
|
Prerequisites: (valid for students admitted to programmes within which the course is offered)
Linear algebra, Calculus in several variables, Signals and systems, Matlab programming
Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
|
|
Supplementary courses:
Advanced Image Processing, Procedural Methods for Images
|
|
Organisation:
The course is given in the form of lectures and laboratory work.
|
|
Course contents:
The human visual system. Photometry. Image aquisition: camera properties, HDR images. Tone transformations. Filtering in the spatial domain. The Fourier transform, filtering in the frequency domain. Image restoration. Morphological operations. Segmentation. Representation of objects in images. Pattern recognition.
|
|
Course literature:
Gonzalez, Woods: Digital Image Processing, Third edition, Prentice Hall, 2008
Szeliski: Computer vision : algorithms and applications, Springer 2010
|
|
Examination: |
|
Written examination
Laboratory course
|
4,5 ECTS
1,5 ECTS
|
| |
|
|
Course language is Swedish/English.
Department offering the course: ITN.
Director of Studies: Camilla Forsell
Examiner: Reiner Lenz
Link to the course homepage at the department
Course Syllabus in Swedish
|