Course syllabus ZOUDI - Image Analysis (FFWT - WS 2020/2021)


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Course code: ZOUDI
Course title in Czech:
Image Analysis
Course title in English: Image Analysis
Semester:
WS 2020/2021
Mode of completion and number of credits:
Fulfillment of requirements (3 credits)
Mode of delivery and timetabled classes:
full-time, 1/2 (hours of lectures per week / hours of seminars per week)
part-time, 18/0 (lectures per period / seminars per period)
Level of course:
bachelor
Course type:
optional
Type of delivery:
usual
Mode of delivery for our mobility students abroad: -- item not defined --
Language of instruction:
Czech
Course supervisor:
Course supervising department:
Faculty:
Faculty of Forestry and Wood Technology
Teachers:
Ing. Martin Brabec, Ph.D. (examiner, instructor, lecturer, supervisor)
Ing. Tomáš Kolář, Ph.D. (examiner, instructor, lecturer)
Ing. Václav Sebera, Ph.D. (examiner, instructor, lecturer)
Ing. Pavlína Suchomelová (examiner, instructor, lecturer)
Ing. Jan Tippner, Ph.D. (examiner, instructor, lecturer)
doc. Ing. Hanuš Vavrčík, Ph.D. (examiner, instructor, lecturer)
Prerequisites:
 
Timetable in this semester:
Day
From-till
Room
Field of study
Teacher
Entry
Frequency
Capacity
Thursday12.00-12.50B46B-DREV-DREV
N-DI-DI
N-NI-NI
N-STAV-STAV
Lecture
Every week
20
Thursday
13.00-14.50
B46
B-DREV-DREV
N-DI-DI
N-NI-NI
N-STAV-STAV
M. Brabec, T. Kolář, V. Sebera, P. Suchomelová, J. Tippner, H. Vavrčík
Seminar
Every week
20
 
Aim of the course and learning outcomes:
The goal of the course is to provide fundamentals of the image processing. An emphasis will lay in practical work with image data to provide students skills for solving various problems that are common at the college, especially problems from students's final theses (wood anatomy, composite materials, arboriculture etc.). Students will meet a few image processing tools, but the most of the work will be done in open-source application ImageJ
 
Course content:
1.
Introduction to image analysis, acquisition techniques (allowance 0/2)
2.
Tools of image analysis (open-source and proprietary), sensors for image acqusition (allowance 0/2)
3.
Introduction to image analysis in ImageJ, basic image parameters (allowance 0/2)
4.
Histogram and its analysis, LUT tables, gamma correaction (allowance 0/2)
5.
Thresholding and binarization (allowance 0/2)
6.
Filtering and edge detection (allowance 0/2)
7.Segmentation and other techniques (allowance 0/2)
8.
Basic operation with 3D images from CT scans and neutron imaging (allowance 0/2)
9.
Image analysis in Wood anatomy (WinCell) (allowance 0/2)
10.Image analysis in Dendrochronology (WinDendro and Past)Image analysis in Dendrochronology (WinDendro and Past) (allowance 0/2)
11.Use of Image analysis in mechanics of materials (allowance 0/2)
12.
Videoanalysis of kinematic phenomenons (allowance 0/2)
Learning activities and teaching methods:
Type of teaching method
Daily attendance
Combined form
practice
28 h
10 h
consultation20 h30 h
preparation for regular assessment
14 h
22 h
elaboration of reports10 h
10 h
writing of seminar paper
12 h
12 h
Total
84 h
84 h
 
Assessment methods:
Course will be ended by obtaining a credit consists of seminar thesis and test of knowledge.
The seminar thesis will have cca 3 - 5 pages and will be focused on image processing in a specific industry application.
The test of knowledge will have 30 questions, some of them with anwers in the sentances and some of them with answers in the form of check test.
 
Assessment criteria ratio:
Requirement type
Daily attendance
Combined form
Total
0 %
0 %
 
Recomended reading and other learning resources:
Basic:
LAMARI, L. Assess 2.0 : image analysis software for disease quantification. Saint Paul, MN: The American Phytopathological Society, 2008. 125 p. ISBN 0-89054-394-1-.
Computer imaging: digital image analysis and processing. Boca Raton: Taylor & Francis, 659 p. ISBN 0-8493-2919-1.
GLASBEY, C A. -- HORGAN, G. Image Analysis for the Biological Sciences. Chichester: John Wiley & Sons, 1994. 11 p. ISBN 0-471-93726-6.
YOO, T S. Insight into images : principles and practice for segmentation, registration, and image analysis. Wellesley: A K Peters, 2004. 393 p. ISBN 1-56881-217-5.
SEUL, M. -- OGORMAN, L. -- SAMMON, M. Practical algorithms for image analysis: description, examples, programs, and projects. 2nd ed. Cambridge: Cambridge University Press, 2008. 349 p. ISBN 978-0-521-88411-2.
GONZALEZ, R C. -- EDDINS, S L. Digital image processing using MATLAB. 2nd ed. Upper Saddle River,: McGraw - Hill., 738 p. ISBN 978-0-07-713861-5.
Image correlation for shape, motion and deformation measurements: basic concepts, theory and applications. New York: Springer, 2009. 321 p. ISBN 978-0-387-78746-6.
ALLEN, J H. Mechanics of materials for dummies. Hoboken, NJ: Wiley, 370 p. --For dummies. ISBN 978-0-470-94273-4.
HOLZNER, S. Differential equations for dummies. Hoboken, NJ: Wiley, 336 p. --For dummies. ISBN 978-0-470-17814-0.

Course listed in study plans for this semester:
-- item not defined --
 
Course listed in previous semesters:
WS 2019/2020, SS 2018/2019, SS 2017/2018, SS 2015/2016, WS 2014/2015, SS 2013/2014 (and older)
Teaching place:
Brno


Last modification made by Ing. Alice Malá on 05/29/2020.

Type of output: