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Image analysis and graphical interpretation of geological data

General data

Course ID: 1300-WAOGIG Erasmus code / ISCED: 07.304 / (0532) Earth science
Course title: Image analysis and graphical interpretation of geological data Name in Polish: Analiza obrazu i graficzna interpretacja danych geologicznych
Department: Faculty of Geology
Course groups: (in Polish) Przedmiot sugerowny do wyboru na I r. stud. II st. GES na spec. GSM ścieżka Geomateriały mineralne
(in Polish) Przedmiot sugerowny do wyboru na I r. stud. II st. GES na spec. GSM ścieżka Poszuk. i dokum. złóż
ECTS credit allocation (and other scores): 2.00
Language: Polish
Type of course:

elective courses

Short description:

The course focuses on image processing (microscopic and macroscopic photographs of geological objects, SEM-BSE and SEM-SE images) with reference to further qualitative and quantitative analysis, professional documentation as required for scientific, expert or popular science reports. The program encompasses vector graphic for composing geological sketch maps, cross-sections or profiles.

Full description:

1. Vector graphics: composing sketch maps, cross-sections and geological profiles based on selected sheets of The Detailed Geological Map of Poland 1:25000 covering the Sudetes region (SW Poland). Work with layers manager, creating objects, the problem of colour space (CMYK vs. RGB). Application of selected options of the QGIS software to fast composing of overview maps.

2. Raster graphics: the principles of a proper graphic composition. The basics of image processing (contrast, brightness, gamma, sharpen) with the use of freeware, e.g. GIMP or the CorelDraw® package. The fundamental rules of composing raster graphical components for publication.

3. Modal analysis with the use of the JMicroVision software.

4. Image analysis with the use of ImageJ and Image SXM freeware; X-MapTools for processing elemental maps:

- Learning basic operations and getting accustomed with the user interface, use of dedicated macros.

- Look-up tables (LUTs): functions, options i operations, applications;

- Initial image processing (pre-processing): use of LUTs, background correction, histogram, contrast, brightness, noise reduction;

- Segmentation – working with greyscale maps:

a) contouring, outlines and edge detection

b) density slicing, thresholding;

c) binary images;

d) pseudocoloured images;

e) grain volume analysis

- grain size analysis.

Bibliography: (in Polish)

Heilbronner R., Barrett S. 2014 Image Analysis in Earth Sciences Microstructures and Textures of Earth Materials. Springer pp. 520.

Snide L. 2013 Photoshop CS6/CS6 PL. Nieoficjalny podręcznik. Wydawnictwo Helion

Roduit N. 2007. JMicroVision: un logiciel d'analyse d'images pétrographiques polyvalent. Praca doktorska. Uniwersytet w Genewie. https://archive-ouverte.unige.ch/unige:468

Kelby S. 2017. Fotografia cyfrowa. Edycja zdjęć. Wydanie VIII. Wydawnictwo Helion.

Learning outcomes:

Upon completion of the course the student is ready to:

- prepare vector graphics, e.g. geological sketch map;

- create and processes images derived from field photographs, micro- and macrophotograps, SEM images and optical microscope images;

- carry out modal analysis of a thin section;

- process image for further qualitative and quantitative analysis of mineral distribution, grain size and volume analysis, obtain digitalized grain boundary maps and textural patterns.

The student develops the skill of unassisted planning of laboratory work with graphics preparation for publications, M.Sc. degree thesis, expert documentation and reports.

Assessment methods and assessment criteria:

Graded assignment. Preparation of practical task assigned by the teacher at the appointed time. Second term task: The same as first term.

Active participation and 100% attendance. Twofold non-attendance (with leave) is allowed.

Practical placement:

none

Classes in period "Summer semester 2019/20" (past)

Time span: 2020-02-17 - 2020-08-02
Choosen plan division:


magnify
see course schedule
Type of class: Placement, 30 hours, 7 places more information
Coordinators: Sławomir Ilnicki, Witold Matyszczak
Group instructors: Sławomir Ilnicki, Witold Matyszczak
Students list: (inaccessible to you)
Examination: Course - Grading
Placement - Grading

Classes in period "Summer semester 2020/21" (future)

Time span: 2021-02-22 - 2021-06-13
Choosen plan division:


magnify
see course schedule
Type of class: Placement, 30 hours, 10 places more information
Coordinators: Sławomir Ilnicki, Witold Matyszczak
Group instructors: Sławomir Ilnicki, Witold Matyszczak
Students list: (inaccessible to you)
Examination: Course - Grading
Placement - Grading
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