Fundamentals of Image Processing
Mechatronics Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Fundamentals of Image Processing | MKT430 | Elective | Bachelor's degree | 4 | Spring | 4 |
Name of Lecturer(s)
Prof. Dr. Hasan OCAK
Associate Prof. Dr. Orhan AKBULUT
Assistant Prof. Dr. Kaplan KAPLAN
Assistant Prof. Dr. Suat KARAKAYA
Learning Outcomes of the Course Unit
1) Identify and use the basic image processing methods.
2) Perform spatial and frequency domain filtering.
3) Identify and apply the basic segmentation methods.
4) Identify and apply the basic morphological operations.
5) Decide upon algorithms to use for solving an image processing problem.
6) Apply various image processing methods using MATLAB.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Learning Outcomes | ||||||||||||
| 1 | High | High | High | No relation | No relation | No relation | Low | No relation | No relation | No relation | No relation | |
| 2 | Middle | Middle | Middle | Middle | Middle | High | High | High | High | High | High | |
| 3 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | High | High | High | High | |
| 4 | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | High | |
| 5 | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | Middle | Middle | |
| 6 | High | High | High | High | High | High | High | High | High | High | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
This course covers; image processing and digital images, resolution, bit-depth, image dimensions, basic image processing methods, geometric transformations, image enhancement: point processing, image histogram, spatial domain filtering, 2D Fourier Transform, frequency domain filtering, segmentation, Hough transform, morphology.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Language of Instruction
English
Work Placement(s)
Not Required