BBS669 - IMAGE PROCESSING
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
IMAGE PROCESSING | BBS669 | Any Semester/Year | 3 | 0 | 3 | 6 |
Prequisites | ||||||
Course language | Turkish | |||||
Course type | Elective | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Lecture Problem Solving | |||||
Instructor (s) | Erkut Erdem (Öğr.Gör.Dr.), Aykut Erdem (Yrd.Doç.Dr.), Nazlı İkizler-Cinbiş (Yrd.Doç.Dr.) | |||||
Course objective | The subject matter of this course is to provide an introduction to image processing. | |||||
Learning outcomes |
| |||||
Course Content | ? Image formation, ? Point operations and histogram processing, ? Spatial filtering techniques, ? Frequency domain approaches, ? Image smoothing, ? Edge detection ? Image segmentation | |||||
References | ? Computer Vision: Algorithms and Applications, Richard Szeliski, Springer, 2010 ? Digital Image Processing, R. C. Gonzalez, R. E. Woods, 3rd Edition, Prentice Hall, 2008 |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | Introduction |
Week 2 | Image formation and the digital camera |
Week 3 | Color perception and color spaces |
Week 4 | Point operations |
Week 5 | Spatial filtering |
Week 6 | Fourier Transform |
Week 7 | Image pyramids and wavelets |
Week 8 | Midterm exam |
Week 9 | Gradients, edges, contours |
Week 10 | Image smoothing |
Week 11 | Image segmentation I |
Week 12 | Image segmentation II |
Week 13 | Advanced Topics I |
Week 14 | Advanced Topics II |
Week 15 | |
Week 16 | Final exam |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 0 | 3 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 5 | 12 |
Presentation | 0 | 0 |
Project | 0 | 0 |
Seminar | 0 | 0 |
Midterms | 1 | 35 |
Final exam | 1 | 50 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 0 | 50 |
Percentage of final exam contributing grade succes | 0 | 50 |
Total | 100 |
WORKLOAD AND ECTS CALCULATION
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Specific practical training | 0 | 0 | 0 |
Field activities | 0 | 0 | 0 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 14 | 2 | 28 |
Presentation / Seminar Preparation | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework assignment | 5 | 10 | 50 |
Midterms (Study duration) | 1 | 24 | 24 |
Final Exam (Study duration) | 1 | 36 | 36 |
Total Workload | 35 | 75 | 180 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1. Has detailed knowledge about Information Systems (IS). | X | ||||
2. Understands the interaction of theory and practice and the links between them. | X | ||||
3. Has a good understanding of common concepts such as abstraction, complexity, security, concurrency, software lifecycle and applies their expertise to the effective design, development and management of IS. | X | ||||
4. Has the ability to think at different levels of abstraction and detail; understands that an IS can be considered in different contexts, going beyond narrowly identifying implementation issues. | X | ||||
5. Solves any technical or scientific problem independently and presents the best possible solution; has the communication skills to clearly explain the completeness and assumptions of their solution. | X | ||||
6. Completes a project on a larger scale than an ordinary course project in order to acquire the skills necessary to work efficiently in a team. | X | ||||
7. Recognises that the field of informatics is rapidly evolving. Follows the latest developments, learns and develops skills throughout their career. | X | ||||
8. Recognises the social, legal, ethical and cultural issues related to informatics practice and conduct professional activities in accordance with these issues. | X | ||||
9. Can make oral presentations in English and Turkish to different audiences face-to-face, in writing or electronically. | X | ||||
10. Recognises that informatics has a wide range of applications and opportunities. | X | ||||
11. Is aware that informatics interacts with different fields, can communicate with experts from different fields and can learn necessary field knowledge from them. | X | ||||
12. Define a research problem and use scientific methods to solve it. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest