Introduction to image analysis

Course guarantor:

Hynek Lauschmann

Lecturer:

Hynek Lauschmann

Tutor:

Hynek Lauschmann

Supervisor:

Department of Materials

Synopsis:

The aim of the lecture is an introduction to selected basic methods of image processing and analysis with an emphasis on the applications to material engineering. Solutions of particular tasks built in Matlab are presented.

Requirements:

Linear algebra, mathematical analysis, practical programming

Syllabus of lectures:

1.Basic terms. Image and data formats

2.Global methods of image processing

3.A walk through an image matrix pixel-by-pixel

4.Convolution and filtration

5.Objects and morphological operations

6.Binarization

7.Description of objects 1: cells. Related computational means

8.Description of objects 2: fiber structures

9.Discrete 2D Fourier transformation

10.Image registration

11.Geometrical transformations

Syllabus of tutorials:

Study Objective:

Knowledges: digital image representation, selected basic methods of image processing and analysis, related means in Matlab.

Skills: creation of image processing/analysis solutions in Matlab.

Study materials:

1.Pratt W. K.: Digital Image Processing (3rd ed.), John Wiley, New York, 2001

2.Gonzales R. C. et al., Digital Image Processing using MATLAB, Prentice Hall, 2004

Note:

Time-table for winter semester 2024/2025:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon
Tue
Wed
Thu	roomTR:341 Lauschmann H. 12:00–13:50 (lecture parallel1) Trojanova 13
Fri

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans:

• Fyzikální inženýrství materiálů (elective course)