Digital Image Processing
|
Course Objectives
|
| The aim of the course is to teach students the fundamental principles and algorithms of digital image processing systems. |
|
Course Content
|
| The following topics will be included: Digital images as twodimensional signals; twodimensional convolution, Fourier transform, and discrete cosine transform; Image processing basics; Image enhancement; Image restoration; Wavelets and Multiresolution processing; Image coding and compression; Video processing including video coding and compression. |
|
Course materials
|
- Digital Image Processing 3rd Edition, Rafael C. Gonzalez, Richard E. Woods, Prentice Hall, 2008.
- Biosignal and Medical Image Processing 2nd Edition, John L. Semmlow, Taylor and Francis, 2008.
|
|
Assessment
|
%40 Homework + %10 Attendance + %50 Project
|
|
Prerequisites
|
The student must have taken at least one course about the programming.
|
| Week |
Subjects |
| 1. |
Introduction. The concept of Digital Image Processing and its application areas |
| 2. |
Image Enhancement |
| 3. |
Image Transforms |
| 4. |
Color Image Processing |
| 5. |
Image Restoration |
| 6. |
Image Segmentation � 1 |
| 7. |
Image Segmentation � 2 |
| 8. |
Homeworks |
| 9. |
Image Representation and Description |
| 10. |
Feature Extraction |
| 11. |
Motion Analysis |
| 12. |
Video Image Processing |
| 13. |
Pattern Recognition |
| 14. |
Image Compression |
| 15. |
Project Presentations |
|