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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
---|---|---|---|---|---|---|
Image Processing | YZM423 | Elective | Bachelor's degree | 4 | Fall | 5 |
Assistant Prof. Dr. Yasemin GÜLTEPE
Assistant Prof. Dr. İrfan KÖSESOY
1) Define the properties and types of the image.
2) Explain the sampling of the image sign.
3) Distinguish between image formats and image enhancement techniques.
4) Explain image filtering and its types.
5) Makes image processing application in computer environment.
Program Competencies | |||||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
Learning Outcomes | |||||||||||||
1 | High | Low | Low | Low | Low | Low | Middle | High | Low | Low | Middle | Low | |
2 | High | Low | Low | Low | Low | Low | Middle | High | Low | Low | Middle | Low | |
3 | High | High | Middle | Middle | Middle | Low | High | Middle | Middle | Low | Middle | Low | |
4 | High | High | Middle | Middle | Middle | Low | High | Middle | Middle | Low | Middle | Low | |
5 | High | High | High | High | High | High | High | High | High | Middle | Middle | High |
Face to Face
None
Not Required
1. Basics of image, properties of light, color information, human vision system, cameras, computer vision systems, black-white image, color image, color models (RGB, CMY, TIQ), digital image 2. Sampling and quantification of image mark 3. Image formats, image enhancement techniques; point processing methods, black-and-white image, slicing of grayscale values, brightness adjustment, contrast enhancement and computer applications 4. Image filtering systems 5. Two-dimensional transformations of the image; Application of two-dimensional fourier transform and fast fourier transform to images 6. Image data encoding techniques, image compression and techniques
Turkish
Not Required