22D7 - Quantification of Visual Information
| Course specification | ||||
|---|---|---|---|---|
| Course title | Quantification of Visual Information | |||
| Acronym | 22D7 | |||
| Study programme | Environmental Engineering,Material Engineering | |||
| Module | ||||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 5.0 | Status | ||
| Condition | Облик условљености | |||
| The goal | The goal of the course is to introduce the students to methods of quantification of visual information as well as to enable the students to apply that knowledge in use of some programs for image analysis. Besides that students will be able to choose the appropriate technique for image acquiring in order to enable good conditions for data analysis | |||
| The outcome | After the completion of the course studens are able to (i) extract quantitative information from visual information (ii) to explain the way how image is made, to perform image treatement and to use tools for image treatement in order to enable extraction of data from it, (iii) present clearly the results and research methods used in image acquiring and treatement. | |||
| Contents | ||||
| Contents of lectures | The course consists from several parts that give insight into the technique of analysis of visual information and basic theory that enable this analysis. The parts of the course are: ; 1. History of visual inspection of specimens, sorts of microscopes and images that result from their use and also the corresponding overview of analysis of visual information ; 2. Basic knowledge about image formation using digital cameras and devices for image information preservation with special attention on quality of the image ; 3. Basic concepts of mathematical morphology and transformations that are used in image processing\ ; 4. Use of digital filters for image analysis, specially for objects border definition transformations of objects and limits of those transformations. ; 5. Object recognition characteristic for structure of materials such as grains, pores, fibers. ; 6. Definition of characteristics of objects defining the structure. Recognition of more complex structures on images and methods for morphological parameters definition and analysis using tools from image analysis and statistical tools. ; 7. Presentation of process of characterization of structure using tools of image analysis and discussion of presented algorithms | |||
| Contents of exercises | ||||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 3 | ||||
| Methods of teaching | Lectures with presentation and exercices and videoanimation | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 10 | Test paper | ||
| Practical lessons | Oral examination | 50 | ||
| Projects | ||||
| Colloquia | 20 | |||
| Seminars | 20 | |||