13D041OPMV - Selected Topics in Machine Vision
Course specification | ||||
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Course title | Selected Topics in Machine Vision | |||
Acronym | 13D041OPMV | |||
Study programme | Electrical Engineering and Computing | |||
Module | ||||
Type of study | doctoral studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 9.0 | Status | elective | |
Condition | Passed exam in subject Digital Image Processing on undergraduate academic studies. | |||
The goal | The goal of this course is to familiarize students with modern achievements in machine vision, and to qualify them for scientific research in this field. | |||
The outcome | The students will be qualified for use of modern development environments, advanced hardware platforms, analysis and improvement of methods, development and realization of complex machine vision systems and conducting scientific research in this field. | |||
Contents | ||||
Contents of lectures | Advanced systems for image acquisition and processing. Hardware platforms and sensors for image acquisition and processing. High speed Imaging. High speed illumination. Structural illumination. Microscopic systems. Methods and systems for 3D imaging. 2D and 3D calibration. Application of standard image processing methods in machine vision. Advanced image processing methods used in machine vision. | |||
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 |
6 | ||||
Methods of teaching | Lectures, consultations. Student projects. | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | Test paper | |||
Practical lessons | Oral examination | 30 | ||
Projects | ||||
Colloquia | ||||
Seminars | 70 |