Digital image processing

The course is not on the list Without time-table

Code	Completion	Credits	Range
33DZO	Z,ZK	4	2+2s

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

Image processing techniques.

Image formation and acquisition,

preprocessing, compression, edge and object detection. Applications in computer vision and medical image processing.

For more details, see

Requirements:

Syllabus of lectures:

1. Introduction. Geometric transformations. 3D imaging. Pin-hole camera.

2. Filtration, linear integral transforms and their applications. Wavelets.

3. Segmentation.

4. Texture. Texture segmentation. Compression.

5. Image formation, radiometry, color.

6. Detecting geometric features. RANSAC, Hough transform.

7. Detecting point and scale invariant features. The correspondence problem.

8. Active contours.Levelsets.

9. Global registration. Similarity criteria. Optimization.

10. PCA, point distribution models.

11. Graph-based methods. GRAPHCUT segmentation.

12. Introduction to medical imaging techniques.

13. Practical application (external expert presentation).

Syllabus of tutorials:

1. Geometrical transformations.

2. Segmentation.

3. Hough transform.

4. Correspondence problem

5. Image registration

6-14. Semester work.

Study Objective:

Study materials:

Sonka, Hlavac Boyle: 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: