ECTS - Digital Image Processing
Digital Image Processing (EE421) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Digital Image Processing | EE421 | Area Elective | 2 | 2 | 0 | 3 | 5 |
| Pre-requisite Course(s) |
|---|
| MATH 275 |
| Course Language | English |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Discussion, Experiment, Question and Answer, Drill and Practice, Team/Group, Brain Storming. |
| Course Lecturer(s) |
|
| Course Objectives | •Study the image fundamentals and mathematical transforms necessary for image processing. •Study the image enhancement techniques •Study image restoration procedures. •Study the image compression procedures. •Study the image segmentation and representation techniques |
| Course Learning Outcomes |
The students who succeeded in this course;
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| Course Content | 2-D systems and transforms, image acquisition, sampling and quantization, linear and non-linear techniques for image enhancement and restoration and image compression, differential pulse code modulation, vector quantization, wavelets, subband coding, still and video compression coding standards. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Digital Image Fundamentals and Transforms | Glance this week’s topics from the lecture |
| 2 | Image Enhancement in the Spatial Domain •Gray Level Transformations •Histogram Processing •Spatial Filtering | Review last week and glance this week’s topics from the lecture |
| 3 | Image Enhancement in the Spatial Domain •Smoothing Spatial Filters •Sharpening Spatial Filters | Review last week and glance this week’s topics from the lecture |
| 4 | Image Enhancement in the Frequency Domain •Fourier Transform and Frequency Domain •Smoothing Frequency Domain Filters •Sharpening Frequency Domain Filters | Review last week and glance this week’s topics from the lecture |
| 5 | Image Enhancement in the Frequency Domain •Homomorphic Filtering •Implementation | Review last week and glance this week’s topics from the lecture |
| 6 | Image Restoration Techniques •Degradation Model •Inverse Filtering •Wiener Filtering | Glance this week’s topics from the lecture |
| 7 | Image Restoration Techniques | Review last week and glance this week’s topics from the lecture |
| 8 | Image Segmentation •Detection of Discontinuities •Edge Linking and Boundary Detection •Thresholding | Glance this week’s topics from the lecture |
| 9 | Image Segmentation •Region Based Segmentation •The use motion in Segmentation | Review last week and glance this week’s topics from the lecture |
| 10 | Image Compression •Image Compression Models •Elements of Information Theory •Error-Free Compression •Lossy Compression •Image Compression Standards | Glance this week’s topics from the lecture |
| 11 | Morphological Image Processing •Dilation and Erosion •Opening And Closing •Morphological Algorithms | Glance this week’s topics from the lecture |
| 12 | Representation and Description •Representation •Boundary Descriptors •Regional Descriptors | Glance this week’s topics from the lecture |
| 13 | Representation and Description •Use of Principle of Components for Description | Review last week and glance this week’s topics from the lecture |
| 14 | Object Recognition •Patterns and Pattern Classes •Matching, Optimum Statistical Classifiers | Glance this week’s topics from the lecture |
| 15 | Final examination period | Review topics |
| 16 | Final examination period | Review topics |
Sources
| Course Book | 1. Digital Image Processing,2nd Edition, Rafael C. Gonzales and Richard E. Woods, Pearson Education, 2003. |
|---|---|
| Other Sources | 2. Two-Dimensional Signal and Image Processing, Jae S. Lim, Prentice-Hall, 1989. |
| 3. Digital Video Processing, A. Murat Tekalp, Prentice-Hall, 1995. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | 9 | 15 |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | 1 | 15 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 40 |
| Final Exam/Final Jury | 1 | 30 |
| Toplam | 12 | 100 |
| Percentage of Semester Work | 70 |
|---|---|
| Percentage of Final Work | 30 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Adequate knowledge of subjects related to mathematics, natural sciences, and Electrical and Electronics Engineering discipline; ability to apply theoretical and applied knowledge in those fields to the solution of complex engineering problems. | X | ||||
| 2 | An ability to identify, formulate, and solve complex engineering problems, ability to choose and apply appropriate models and analysis methods for this. | X | ||||
| 3 | An ability to design a system, component, or process under realistic constraints to meet desired needs, and ability to apply modern design approaches for this. | X | ||||
| 4 | The ability to select and use the necessary modern techniques and tools for the analysis and solution of complex problems encountered in engineering applications; the ability to use information technologies effectively | X | ||||
| 5 | Ability to design and conduct experiments, collect data, analyze and interpret results for investigating complex engineering problems or discipline-specific research topics. | X | ||||
| 6 | An ability to function on multi-disciplinary teams, and ability of individual working. | X | ||||
| 7 | Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; active report writing and understanding written reports, preparing design and production reports, the ability to make effective presentation the ability to give and receive clear and understandable instructions. | X | ||||
| 8 | Awareness of the necessity of lifelong learning; the ability to access knowledge, follow the developments in science and technology and continuously stay updated. | X | ||||
| 9 | Acting compliant with ethical principles, professional and ethical responsibility, and knowledge of standards used in engineering applications. | X | ||||
| 10 | Knowledge about professional activities in business, such as project management, risk management, and change management awareness of entrepreneurship and innovation; knowledge about sustainable development. | X | ||||
| 11 | Knowledge about the impacts of engineering practices in universal and societal dimensions on health, environment, and safety. the problems of the current age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | 6 | 2 | 12 |
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 2 | 28 |
| Presentation/Seminar Prepration | 2 | 2 | 4 |
| Project | 1 | 20 | 20 |
| Report | |||
| Homework Assignments | 7 | 2 | 14 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 2 | 4 |
| Prepration of Final Exams/Final Jury | 1 | 2 | 2 |
| Total Workload | 132 | ||