| Course Name | Introduction to Digital Image Processing |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| CE 490 | Fall/Spring | 3 | 0 | 3 | 5 |
| Prerequisites |
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| Course Language | English | ||||||||
| Course Type | Elective | ||||||||
| Course Level | First Cycle | ||||||||
| Mode of Delivery | - | ||||||||
| Teaching Methods and Techniques of the Course | Problem Solving Simulation Application: Experiment / Laboratory / Workshop Lecture / Presentation | ||||||||
| Course Coordinator | |||||||||
| Course Lecturer(s) | |||||||||
| Assistant(s) | - | ||||||||
| Course Objectives | This course introduces the fundamental principles and algorithms of digital image processing systems. The course covers image sampling and quantization; spatial and frequency domain image enhancement techniques; signal processing theories used for digital image processing, such as one- and two-dimensional convolution, and two-dimensional Fourier transformation; morphological image processing; color models and basic color image processing. |
| Learning Outcomes | The students who succeeded in this course;
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| Course Description | The course content includes: Digital images as two-dimensional signals; two-dimensional convolution, Fourier transform, and discrete cosine transform; Image processing basics; Image enhancement; Image restoration; Image coding and compression. |
| Related Sustainable Development Goals |
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| Core Courses | |
| Major Area Courses | X | |
| Supportive Courses | ||
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
| Week | Subjects | Required Materials |
| 1 | Introduction | Chapter 1. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 2 | Fundamentals of digital images | Chapter 2. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 3 | Global histogram processing | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 4 | Local histogram processing | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 5 | Point processing, basic gray-level transformations | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 6 | Spatial filtering, convolution, smoothing filters | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 7 | Spatial filtering, convolution, sharpening filters, combining spatial filtering techniques | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 8 | Filtering in the frequency domain, convolution theorem | Chapter 4. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 9 | Midterm Exam | |
| 10 | Image restoration for noise removal | Chapter 5. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 11 | Morphological image processing | Chapter 9. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 12 | Color image processing | Chapter 6. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 13 | Fundamentals of image compression, JPEG image compression algorithm | Chapter 8. Digital Image Processing. Gonzalez & Woods. ISBN 978-0-13-234563-7 |
| 14 | Project presentations | |
| 15 | Project presentations | |
| 16 | Final Exam |
| Course Notes/Textbooks | R. C. Gonzalez, R. E. Woods, Digital Image Processing, Pearson, 2010, 3/E, ISBN: 978-0-13-234563-7 |
| Suggested Readings/Materials |
| Semester Activities | Number | Weighting |
| Participation | ||
| Laboratory / Application | - | - |
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | 1 | 10 |
| Project | 1 | 20 |
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 30 |
| Final Exam | 1 | 40 |
| Total |
| Weighting of Semester Activities on the Final Grade | 3 | 60 |
| Weighting of End-of-Semester Activities on the Final Grade | 1 | 40 |
| Total |
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Course Hours (Including exam week: 16 x total hours) | 16 | 3 | 48 |
| Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | ||
| Study Hours Out of Class | 14 | 2 | 28 |
| Field Work | |||
| Quizzes / Studio Critiques | |||
| Portfolio | |||
| Homework / Assignments | |||
| Presentation / Jury | 1 | 4 | |
| Project | 1 | 30 | |
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 15 | |
| Final Exams | 1 | 25 | |
| Total | 150 |
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
| 1 | To have adequate knowledge in Mathematics, Science and Electrical and Electronics Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. | X | ||||
| 2 | To be able to identify, define, formulate, and solve complex Electrical and Electronics Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. | X | ||||
| 3 | To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. | X | ||||
| 4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Electrical and Electronics Engineering applications; uses computer and information technologies effectively. | X | ||||
| 5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Electrical and Electronics Engineering research topics. | X | ||||
| 6 | To be able to work efficiently in Electrical and Electronics Engineering disciplinary and multi-disciplinary teams; to be able to work individually. | |||||
| 7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions. | X | ||||
| 8 | To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to Electrical and Electronics Engineering; to be aware of the legal ramifications of Electrical and Electronics Engineering solutions. | X | ||||
| 9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications | X | ||||
| 10 | To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
| 11 | To be able to collect data in the area of Electrical and Electronics Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1) | |||||
| 12 | To be able to speak a second foreign language at a medium level of fluency efficiently. | |||||
| 13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Electrical and Electronics Engineering. | |||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest