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COURSE INTRODUCTION AND APPLICATION INFORMATION
se.cs.ieu.edu.tr
| Course Name | |
| Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
|---|---|---|---|---|---|
| Fall/Spring |
| Prerequisites | None | |||||
| Course Language | ||||||
| Course Type | Elective | |||||
| Course Level | - | |||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | Problem SolvingSimulationApplication: Experiment / Laboratory / Workshop | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | |
| Learning Outcomes | The students who succeeded in this course;
|
| Course Description |
|
| Core Courses | |
| Major Area Courses | ||
| Supportive Courses | X | |
| Media and Managment Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials |
| 1 | Introduction. What is Digital Image Processing? Application areas of digital image processing | Chapter 1. Sections 1.11.3. 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, 2.12.4. 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, 2.12.4. 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 3.13.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 6 | Image Enhancement in the spatial domain. Histogram processing. | Chapter 3. Sections 3.13.6. 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 | Image Enhancement in the frequency domain. | Chapter 4. Sections 4.74.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 10 | Image Enhancement in the frequency domain. | Chapter 4. Sections 4.74.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 11 | Image restoration: system model, noise model, estimation of degradation function. | Chapter 5. Sections 5.1,5.2,5.75.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 12 | 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 |
| 13 | Color Image Processing. Color transformations. Color image smoothing and sharpening | Chapter 6. Section 6.16.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 14 | Color Image Processing. Color transformations. Color image smoothing and sharpening | Chapter 6. Section 6.16.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
| 15 | Review for Final exam | |
| 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. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | 2 | 10 |
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury | ||
| Project | ||
| Seminar / Workshop | ||
| Oral Exam | ||
| Midterm | 1 | 25 |
| Final Exam | 1 | 25 |
| Total |
| Weighting of Semester Activities on the Final Grade | 75 | |
| Weighting of End-of-Semester Activities on the Final Grade | 25 | |
| Total |
ECTS / WORKLOAD TABLE
| 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 | 15 | 2 | |
| Field Work | |||
| Quizzes / Studio Critiques | 2 | 2 | |
| Portfolio | |||
| Homework / Assignments | |||
| Presentation / Jury | |||
| Project | |||
| Seminar / Workshop | |||
| Oral Exam | |||
| Midterms | 1 | 8 | |
| Final Exams | 1 | 10 | |
| Total | 100 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
| 1 | Be able to define problems in real life by identifying functional and nonfunctional requirements that the software is to execute | |||||
| 2 | Be able to design and analyze software at component, subsystem, and software architecture level | |||||
| 3 | Be able to develop software by coding, verifying, doing unit testing and debugging | |||||
| 4 | Be able to verify software by testing its behaviour, execution conditions, and expected results | |||||
| 5 | Be able to maintain software due to working environment changes, new user demands and the emergence of software errors that occur during operation | |||||
| 6 | Be able to monitor and control changes in the software, the integration of software with other software systems, and plan to release software versions systematically | |||||
| 7 | To have knowledge in the area of software requirements understanding, process planning, output specification, resource planning, risk management and quality planning | |||||
| 8 | Be able to identify, evaluate, measure and manage changes in software development by applying software engineering processes | |||||
| 9 | Be able to use various tools and methods to do the software requirements, design, development, testing and maintenance | X | ||||
| 10 | To have knowledge of basic quality metrics, software life cycle processes, software quality, quality model characteristics, and be able to use them to develop, verify and test software | |||||
| 11 | To have knowledge in other disciplines that have common boundaries with software engineering such as computer engineering, management, mathematics, project management, quality management, software ergonomics and systems engineering | X | ||||
| 12 | Be able to grasp software engineering culture and concept of ethics, and have the basic information of applying them in the software engineering | X | ||||
| 13 | Be able to use a foreign language to follow related field publications and communicate with colleagues | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest