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) |
|---|
| MATH275 |
| 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;
|
| 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 | Possesses sufficient knowledge in mathematics, natural sciences, and discipline-specific topics in Electrical and Electronics Engineering; uses this theoretical and practical knowledge to solve complex engineering problems. | X | ||||
| 2 | Identifies, defines, formulates, and solves complex engineering problems; selects and applies appropriate analytical and modeling methods for this purpose. | X | ||||
| 3 | Designs complex systems, processes, devices, or products under realistic constraints and conditions to meet specific requirements; applies modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economy, environmental issues, sustainability, manufacturability, ethics, health, safety, social and political issues, depending on the nature of the design.) | X | ||||
| 4 | Selects and uses modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; effectively uses information technologies. | X | ||||
| 5 | Designs experiments, conducts tests, collects data, analyzes, and interprets results to investigate complex engineering problems or discipline-specific research topics. | X | ||||
| 6 | Works effectively in disciplinary and interdisciplinary teams; develops the ability to work independently. | X | ||||
| 7 | Communicates effectively in both written and verbal forms; possesses proficiency in at least one foreign language; writes effective reports, understands written reports, prepares design and production reports, delivers effective presentations, and gives and receives clear instructions. | X | ||||
| 8 | Recognizes the need for lifelong learning; accesses information, follows developments in science and technology, and continuously renews oneself. | X | ||||
| 9 | Acts in accordance with ethical principles, assumes professional and ethical responsibility, and possesses knowledge about the standards used in engineering practices. | X | ||||
| 10 | Possesses knowledge about professional practices such as project management, risk management, and change management; gains awareness of entrepreneurship and innovation; understands the principles of sustainable development. | X | ||||
| 11 | Understands the universal and societal impacts of engineering practices on health, environment, and safety; recognizes the contemporary issues reflected in the field of engineering and understands the legal implications 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 | ||