Study programmes / C-TIMS Timber Structures and Wood Building Construction / Image Processing for Wood Technology
Course code:ZOUDI
Course title in language of instruction:Zpracování obrazu pro úlohy dřevařského inženýrství
Course title in Czech:Zpracování obrazu pro úlohy dřevařského inženýrství
Course title in English:Image Processing for Wood Technology
Mode of completion and number of credits:Fulfillment of requirements (3 credits)
(1 ECTS credit = 28 hours of workload)
Mode of delivery/Timetabled classes:full-time, 0/2; part-time, 20/0
(full-time, hours of lectures per week / hours of seminars per week; part-time, lectures per period / seminars per period)
Language of instruction:Czech
Level of course:bachelor
Semester:SS 2018/2019 - FFWT
Name of lecturer: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. Jan Tippner, Ph.D. (examiner, instructor, lecturer)
Prerequisites:State Bachelor Examination
 
Aims of the course: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 contents:
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 outcomes and competences:
Generic competences:
 
-ability to apply knowledge
-ability to solve problems
-ability to work independently
-skilled at utilizing and processing information

Specific competences:
 
-Ability to apply of branch knowledge for solutions of practice wood technology problems
-Ability to independently measure and evaluate experimental data.
-Ability to perform histogram analysis and threshold binarization of image
-Skill for measuring of object dimensions in image
-Skill that enable to calculate count of particles (objects) in the image

Type of course unit:optional
Year of study:Not applicable - the subject could be chosen at anytime during the course of the programme.
Work placement:There is no compulsory work placement in the course unit.
Recommended study modules:none
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.
 
Learning activities and study load (hours of study load)
Type of teaching methodDaily attendanceCombined form
Direct teaching
     practice28 h10 h
     consultation20 h30 h
Self-study
     preparation for regular assessment14 h22 h
     elaboration of reports10 h10 h
     writing of seminar paper12 h12 h
Total84 h84 h

Basic reading list
  • 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.