DS2OS - Image Processing
Course specification | ||||
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Course title | Image Processing | |||
Acronym | DS2OS | |||
Study programme | Electrical Engineering and Computing | |||
Module | Telecommunications and Information Technologies | |||
Type of study | doctoral studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 9.0 | Status | elective | |
Condition | none | |||
The goal | Giving to students basic methods for image processing. Students have to be skilled to use these methods for analysing, processing and classifying two-dimensional signals, in general. | |||
The outcome | Knowledge of (digital) image processing. Students have to use methods and algorithms for image analysis, processing and classification. | |||
Contents | ||||
Contents of lectures | Basics of visual perception. Image analysis and digitizing. Basic methods for image processing in spatial and frequency domains (noise removal, image sharpening, image enhancing). Higher level processing: segmentation, object recognition, pattern classification. Processing of multidimensional signals. Basics of computed tomography. Image compression, archieving and displaying. | |||
Contents of exercises | none | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
6 | ||||
Methods of teaching | Lectures and auditory exercises | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 70 | |
Practical lessons | 0 | Oral examination | 0 | |
Projects | 0 | |||
Colloquia | 30 | |||
Seminars | 0 |