13M054DOS - Advanced Techniques in Digital Image Processing
Course specification | ||||
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Course title | Advanced Techniques in Digital Image Processing | |||
Acronym | 13M054DOS | |||
Study programme | Electrical Engineering and Computing | |||
Module | ||||
Type of study | master academic studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 6.0 | Status | elective | |
Condition | no | |||
The goal | Introduce students to the fundamentals of digital image processing in time and frequency domains. Understanding of the image noise and methods of image enhancement, objects’ extraction and classification. Provide students with the ability to use already made software packages as well as to construct their own algorithms for image processing, extraction and specification of image objects. | |||
The outcome | Enabling students to use already made software packages and to generate their own algorithms for image enhancement, extraction of typical objects, and to define the relationships between them. | |||
Contents | ||||
Contents of lectures | Deterministic transforms of multi - level gray image. Histogram modifications. Image noise elimination by smoothing. Edge sharpening and detection. Morphological processing. Boundary detection and contour tracing. Generalized image segmentation. Extraction of objects from textured background. Object representation and coding. | |||
Contents of exercises | Applications of image processing: Document image analysis, Microscopic image analysis, Quality inspection in industry, Motion control | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
3 | 1 | 1 | ||
Methods of teaching | Lectures, exercises on computer, analysis of recommended literature, home-works, and projects. | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 20 | |
Practical lessons | 20 | Oral examination | 20 | |
Projects | ||||
Colloquia | 0 | |||
Seminars | 40 |