| Obligation |
: |
Elective |
| Prerequisite courses |
: |
- |
| Concurrent courses |
: |
- |
| Delivery modes |
: |
Face-to-Face |
| Learning and teaching strategies |
: |
Lecture, Question and Answer |
| Course objective |
: |
In order to equip the students with the capability to solve real-life problems in image processing, this course aims to teach the following topics to the students: -basic concepts of image processing , -image enhancement, restoration and compression, -image segmentation and image representation for object recognition |
| Learning outcomes |
: |
Know the basic concepts and approaches in image processing, Apply the techniques and algorithms s/he learnt in the class in real-life applications, Have the adequate knowledge to follow and understand advanced up-to-date image processing techniques. |
| Course content |
: |
Basics of image processing: Spatial and Frequency Domains. Image enhancement. Image restoration. Multiresolution image processing. Image compression. Image segmentation. Image representation and description for object recognition. |
| References |
: |
Gonzalez R. C., Woods R. E., Digital Image Processing, 3rd ed., Prentice-Hall, 2008. |
Course Outline Weekly
| Weeks |
Topics |
| 1 |
Gonzalez R. C., Woods R. E., Digital Image Processing, 3rd ed., Prentice-Hall, 2008. |
| 2 |
Image enhancement in the spatial domain |
| 3 |
Image transforms |
| 4 |
Image enhancement in the frequency domain |
| 5 |
Image restoration |
| 6 |
Color spaces and color image processing |
| 7 |
Multiresolution image processing: Wavelets |
| 8 |
Midterm Exam |
| 9 |
Image compression |
| 10 |
Image coding |
| 11 |
Morphologic operations |
| 12 |
Image segmentation |
| 13 |
Image representation and description |
| 14 |
Introduction to object recognition |
| 15 |
Preparation week for final exams |
| 16 |
Final exam |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| Key learning outcomes |
Contribution level |
| 1 |
2 |
3 |
4 |
5 |
| 1. |
Has general and detailed knowledge in certain areas of Electrical and Electronics Engineering in addition to the required fundamental knowledge. | | | | | |
| 2. |
Solves complex engineering problems which require high level of analysis and synthesis skills using theoretical and experimental knowledge in mathematics, sciences and Electrical and Electronics Engineering. | | | | | |
| 3. |
Follows and interprets scientific literature and uses them efficiently for the solution of engineering problems. | | | | | |
| 4. |
Designs and runs research projects, analyzes and interprets the results. | | | | | |
| 5. |
Designs, plans, and manages high level research projects; leads multidiciplinary projects. | | | | | |
| 6. |
Produces novel solutions for problems. | | | | | |
| 7. |
Can analyze and interpret complex or missing data and use this skill in multidiciplinary projects. | | | | | |
| 8. |
Follows technological developments, improves him/herself , easily adapts to new conditions. | | | | | |
| 9. |
Is aware of ethical, social and environmental impacts of his/her work. | | | | | |
| 10. |
Can present his/her ideas and works in written and oral form effectively; uses English effectively. | | | | | |
