Course content

Half of the course is concerned with image syntesis (computer graphics) and half of the course is on image analysis (image processing). Graphics: graphical primitives, geometric transformations, viewing transformations, culling and hidden surface elimination I, colour representation, illumination models and algorithms I. C/C++ OpenGL labs. Image processing: sample image processing applications, linear filtering, histogram techniques, Fourier transformation, restoration, segmentation, classification, introduction to 3D image volumes. C/C++ or MATLAB labs.

Learning outcome

Knowledge: The candidate will acquire knowledge of basic image synthesis and image analysis principles and algorithms.

Skills: The candidate will acquire skills in graphics and image processing programming with commonly used tools.

General competence: The candidate will gain competence in realising the potential of basic graphics and image processing techniques, an overview of visual computing, the ability to construct sizeable visual computing applications as well as to absorb further visual computing knowledge.

Learning methods and activities

Lectures and exercises. The lectures and examination will be in English. If there is a re-sit examination, the examination form may change from written to oral.

Compulsory assignments

• Exercises

Recommended previous knowledge

TDT4120 Algorithms and Datastructures and TMA4135 Calculus 4D or equivalent.

Course materials

To be announced at start of semester.

Credit reductions