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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
---|---|---|---|---|---|---|
Advanced Image Processing | FBE101 | Elective | Master's degree | 1 | Fall | 8 |
Associate Prof. Dr. Aysun TAŞYAPI ÇELEBİ
1) Carry out image analysis
2) Make measurements in images
3) Carry out image calibration
4) Make object detection in images
5) Explain image compression approaches
6) Conduct image modelling
7) Explain noise effects in images
8) Expound imaging sensors
Program Competencies | ||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
Learning Outcomes | ||||||||
1 | High | High | High | No relation | No relation | No relation | No relation | |
2 | High | High | High | No relation | No relation | No relation | No relation | |
3 | High | Middle | Middle | No relation | No relation | No relation | No relation | |
4 | High | No relation | No relation | No relation | No relation | No relation | No relation | |
5 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
6 | High | High | High | No relation | No relation | No relation | No relation | |
7 | High | High | High | No relation | No relation | No relation | No relation | |
8 | High | High | High | No relation | No relation | No relation | No relation |
Face to Face
None
Image Processing.
This course equips candidates with in-depth knowledge on short review of basic image processing methods, measurements in mono and color images, image analysis, object detection in images, image calibration, image modelling, noise in images, imageing sensors and image compression
Contribution of Semester Studies to Course Grade |
40% |
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Contribution of Final Examination to Course Grade |
60% |
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Total | 100% |
Turkish
Not Required