FACULTY OF ENGINEERING
Department of Industrial Engineering
CE 490 | Course Introduction and Application Information
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 |
|
|||||||
Course Language |
English
|
|||||||
Course Type |
Service Course
|
|||||||
Course Level |
First Cycle
|
|||||||
Mode of Delivery | - | |||||||
Teaching Methods and Techniques of the Course | Problem SolvingSimulationApplication: Experiment / Laboratory / WorkshopLecture / 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;
|
Course Description | The following topics are included: 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. |
|
Core Courses | |
Major Area Courses |
X
|
|
Supportive Courses | ||
Media and Management Skills Courses | ||
Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
Week | Subjects | Related Preparation |
1 | Introduction | Chapter 1. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
2 | Digital image fundamentals | Chapter 2. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
3 | Histogram processing | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
4 | Point processing, basic intensity transformations | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
5 | Spatial filtering, convolution, smoothing filters | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
6 | Spatial filtering, convolution, sharpening filters, combining spatial filtering techniques | Chapter 3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
7 | Midterm Exam I | |
8 | Filtering in the frequency domain, convolution theorem | Chapter 4. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
9 | Image restoration for noise removal | Chapter 5. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
10 | Morphological image processing | Chapter 9. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
11 | Midterm Exam II | |
12 | Color image processing | Chapter 6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
13 | Fundamentals of image compression | Chapter 8. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
14 | JPEG image compression algorithm | Chapter 8. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X |
15 | Semester Review | |
16 | Final Exam |
Course Notes/Textbooks | R. C. Gonzalez, R. E. Woods, “Digital Image Processing”, Prentice Hall, 3rd Ed., 2008, ISBN 013168728X. |
Suggested Readings/Materials | R. C. Gonzalez, R. E. Woods, S. L. Eddins, “Digital Image Processing Using MATLAB”, Prentice Hall, 2nd Ed., 2009, ISBN 9780982085400. |
EVALUATION SYSTEM
Semester Activities | Number | Weigthing |
Participation |
-
|
-
|
Laboratory / Application |
-
|
-
|
Field Work | ||
Quizzes / Studio Critiques | ||
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | ||
Seminar / Workshop | ||
Oral Exams | ||
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 |
ECTS / WORKLOAD TABLE
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
Study Hours Out of Class |
16
|
3
|
48
|
Field Work |
0
|
||
Quizzes / Studio Critiques |
0
|
||
Portfolio |
0
|
||
Homework / Assignments |
0
|
||
Presentation / Jury |
0
|
||
Project |
0
|
||
Seminar / Workshop |
0
|
||
Oral Exam |
0
|
||
Midterms |
2
|
15
|
30
|
Final Exam |
1
|
24
|
24
|
Total |
150
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
1
|
2
|
3
|
4
|
5
|
||
1 | To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems. |
X | ||||
2 | To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose. |
X | ||||
3 | To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques. |
X | ||||
4 | To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently. |
X | ||||
5 | To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas. |
X | ||||
6 | To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually. |
X | ||||
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 contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions. |
X | ||||
9 | To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice. |
X | ||||
10 | To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development. |
X | ||||
11 | To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language. |
X | ||||
12 | To be able to speak a second foreign 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 Industrial Engineering. |
X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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