| TNCG22 |
Image Processing, 6 ECTS credits.
/Bildbehandling/
For:
ACG
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Prel. scheduled
hours: 48
Rec. self-study hours: 112
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Area of Education: Technology
Main field of studies: Media Technology
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Advancement level
(G1, G2, A): A
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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 structure of the human eye
- understand and apply the basic concepts and methods of signal processing
- understand the basics of image acquisition and formation of digital 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
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Prerequisites: (valid for students admitted to programmes within which the course is offered)
Linear algebra and Calculus in several variables.
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.
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Supplementary courses:
Advanced Image Processing, Procedural Methods for Images
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Organisation:
The course is given in the form of lectures and laboratory work.
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Course contents:
The human vision system. Basic signal processing concepts and methods. Digital images as 2D signals. Digital images: acquisition, sampling, resolution, tone transformations. Filtering in the spatial and in the frequency domain. Image restoration. Morphological operations. Segmentation. Representation of objects in images.
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Course literature:
Gonzalez, Woods: Digital Image Processing, Third edition, Prentice Hall, 2008
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Examination: |
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Written exam Laboratory course |
4,5 ECTS 1,5 ECTS
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Course language is English.
Department offering the course: ITN.
Director of Studies: Dag Haugum
Examiner: Björn Gudmundsson
Link to the course homepage at the department
Course Syllabus in Swedish
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