Digital 2D biosignal processing

Lecturer:

Tutor:

Supervisor:

Department of Biomedical Informatics

Synopsis:

The basic topics of the subject are techniques of 2D bio-signal processing, discrete 2D transforms, linear filtering, image reconstruction from projection, 3D reconstruction, 2D signal analysis (distortion and noise identification, wavelet decomposition, edge detection, segmentation, texture analysis), lossless and lossy compression, quality classification, 2D bio-signal processing in medicine and ecology (US, mammography, microscopic imaging)

Requirements:

Basic knowledge of image processing is an advantage. (Pass the subject „Image data processing“)

Syllabus of lectures:

1. Linear 2D systems, 2D spectra, digital representation of images, 2D discrete operators

2. 2D discrete transformations, DFT, cosine and sine, Hadamard, Haar transformation

3. Image restoration, distortion and noise identification, Wiener filtering in frequency domain

4. Image segmentation. Texture analysis, brightness calibration, image segmentation based on histogram, optimal tresholding

5. Spline curves, image segmentation based on deformable models

6. Wavelet decomposition and its utilization in 2D bio-signal analysis and compression

7. Noise suppression, nonlinear filtering, Gauss, median, mode, rank-order filtering and their properties

8. Morphological image analysis, erosion, dilatation, morphological opening and closing, morphological filtering and its properties

9. 3D reconstruction of object position and orientation based on its 2D projection, manual transport analysis

10. Image registration, geometrical transformation, image registration

11. Image compression, Lossless and lossy compression JPEG, JPEG2000

12. Line detection, Hough transformation, circle detection, generalized Hough transform

13. 2D objects representation based on their contours, object classification based on contour descriptors

14. 2D bio-signal processing in medicine and ecology

Syllabus of tutorials:

The subject has only lectures

Study Objective:

The goal of the subject is provide knowledge of theoretically demanding methods of 2D bio-signal processing and their application or modification for particular purposes.

Study materials:

[1]Rafael C.Gonzales, Paul Wintz: Digital Image Processing, 2002.

[2]Al Bovik: Handbook of Image & Video Processing. Academic Press, 2000.

[3]Gonzales, C.R., Woods, E.R., Eddins, L.S.: Digital Image Processing Using MATLAB. Prentice Hall, 2004.

[4]Sonka, M., Fitzpatrick, J.M.: Handbook of Medical Imaging, Volume 2. Medical Image Processing and Analysis, SPIE Press, 2000.

[5]Davies, E.R.: Machina Vision, Theory, Algorithms, Practicalities, 3rd edition, Elsevier Inc. 2005.

[6]Fontoura Costa, L., Marcondes Cesar, R.Jr.: Shape Analysis and Classification, Tudory and Praktice, CRC Press, 2000.

[7]Soille, P.: Morphological Image Analysis, Principles and Applications, 2nd edition, Springer-Verlag, 2003.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: