Digital Image Processing

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

This course covers basic methods and approaches to image processing. Students will learn the basics of image formation and human visual perception, basic methods of image pre-processing, image restoration and filtration, image compression methods, motion detection in images and basic methods of visual object description. They will learn about basic image processing method applications.

Requirements:

Syllabus of lectures:

1. Image as a multidimensional signal. Digitization

2. Processing in spatial domain. Linear and non-linear methods

3. Processing in frequency domain. Reconstruction

4. Image formation, geometry and radiometry

5. Hardware for Image acquisition, processing and visualisation

6. Image pre-processing. Geometric and intensity transformations

7. Edge detection. Segmentation

8. Lossless and lossy compression

9. Mathematical morphology

10. Colour

11. Texture. Motion

12. Medical Image Analysis. Satellite image processing

13. Machine vision. Visual inspection

14. Applications. Image databases. Images and multimedia

Syllabus of tutorials:

1. - 14. Students solve practical laboratory projects (one or two). The projectsset is open and can be tailored. In the projects, students use a standard image processing package to solve a simple image processing problem(image sharpening, segmentation, etc.).

Study Objective:

Study materials:

[1] Šonka, M., Hlaváč, V., Boyle, R.: Image Processing, Analysis and Machine Vision

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: