| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Robot Vision | MKT523 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Assistant Prof. Dr. Suat KARAKAYA
Learning Outcomes of the Course Unit
1) Identify the basic methods in image processing and apply them using MATLAB or a similar program.
2) Identify and apply the methods for image segmentation.
3) Identify and apply various methods for object detection and tracking.
4) Identify and apply the basic methods for vision based motion detection.
5) Perform camera calibration
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||
| 1 | 2 | 3 | 4 | ||
| Learning Outcomes | |||||
| 1 | High | No relation | Middle | No relation | |
| 2 | High | High | No relation | No relation | |
| 3 | No relation | No relation | No relation | No relation | |
| 4 | High | No relation | High | High | |
| 5 | No relation | High | High | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Intr. to image processing
Course Contents
This course equips candidates with in-depth knowledge on robot vision, basic image processing methods, spatial and frequency domain filtering, edge and corner detection, segmentation, motion analysis (background subtraction and optical flow) and camera calibration.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
Turkish
Work Placement(s)
Not Required