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 | |||||||||
Course Coordinator | |||||||||
Course Lecturer(s) | |||||||||
Assistant(s) | - |
Course Objectives | This course introduces the fundamental principles and algorithms of digital image processing systems. The course will cover many subjects including image sampling and quantization; spatial and frequency domain image enhancement techniques; digital signal processing theories used for digital image processing, such as onedimensional and twodimensional convolution, and twodimensional Fourier transformation; color models and basic color image processing. |
Learning Outcomes | The students who succeeded in this course;
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Course Description | 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. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction. What is Digital Image Processing? Application areas of digital image processing | Chapter 1. Sections 1.1-1.3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
2 | Digital Image Fundamentals. How digital images are generated? Sampling, quantization, aliasing, Moire patterns, image zooming and shrinking | Chapter 1-2. Sections 1.4,1.5, 2.1-2.4. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
3 | Digital Image Fundamentals. How digital images are generated? Sampling, quantization, aliasing, Moire patterns, image zooming and shrinking | Chapter 1-2. Sections 1.4,1.5, 2.1-2.4. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
4 | Human visual system | Chapter 2. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
5 | Image Enhancement in the spatial domain. Basic gray level transformations. Smoothing and sharpening spatial filters. | Chapter 3. Sections 3.1-3.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
6 | Image Enhancement in the spatial domain. Histogram processing. | Chapter 3. Sections 3.1-3.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
7 | The 2D Discrete Fourier Transform and Its Inverse, Properties of the 2D DFT and the 2D Convolution Theorem | Chapter 4. Sections 4.5.5, 4.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
8 | The 2D Discrete Fourier Transform and Its Inverse, Properties of the 2D DFT and the 2D Convolution Theorem | Chapter 4. Sections 4.5.5, 4.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
9 | Mid-term Exam | Chapter 4. Sections 4.74.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
10 | Image Enhancement in the frequency domain. | Chapter 4. Sections 4.7-4.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
11 | Image Enhancement in the frequency domain. | Chapter 4. Sections 4.7-4.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
12 | Image restoration: system model, noise model, estimation of degradation function. | Chapter 5. Sections 5.1,5.2,5.7-5.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
13 | Image restoration in the presence of noise only, inverse filtering, minimum mean square error (Wiener) filtering. | Chapter 5. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
14 | Color Image Processing. Color transformations. Color image smoothing and sharpening | Chapter 6. Section 6.1-6.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
15 | Color Image Processing. Color transformations. Color image smoothing and sharpening | Chapter 6. Section 6.1-6.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
16 | Review of the semester |
Course Notes/Textbooks | R. C. Gonzalez and R. E. Woods, “Digital Image Processing”, PrenticeHall, 3rd Ed., 2008, ISBN 013168728X. |
Suggested Readings/Materials | R. C. Gonzalez, R. E. Woods, S. L. Eddins, “Digital Image Processing Using MATLAB”, PrenticeHall, 2nd Ed., 2009, ISBN 9780982085400. |
Semester Activities | Number | Weigthing |
Participation | - | - |
Laboratory / Application | - | - |
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 2 | 60 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 2 | 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 | 16 | 3 | 48 |
Field Work | |||
Quizzes / Studio Critiques | |||
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | |||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 2 | 15 | |
Final Exams | 1 | 24 | |
Total | 150 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Biomedical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. | |||||
2 | To be able to identify, define, formulate, and solve complex Biomedical Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. | |||||
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. | |||||
4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Biomedical Engineering applications. | |||||
5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Biomedical Engineering research topics. | |||||
6 | To be able to work efficiently in Biomedical 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. | |||||
8 | To have knowledge about global and social impact of Biomedical Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions. | |||||
9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. | |||||
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 Biomedical Engineering, and to be able to communicate with colleagues in a foreign language. | |||||
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 Biomedical Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest