FACULTY OF ENGINEERING
Department of Biomedical 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 |
Elective
|
|||||||
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 | ||
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 Biomedical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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12 | To be able to speak a second foreign language at a medium level of fluency efficiently. |
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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
NEWS |ALL NEWS
Biomedical Engineering Erasmus Agreement was signed with Universidad Jaume University, Spain
The signing process for the agreement with Universidad Jaume for Biomedical Engineering has been completed. Our students can add this university to
OCCUPATIONAL HEALTH AND SAFETY TRAINING
Within the scope of BME 318 course, an Occupational Health and Safety Seminar was given to Biomedical Engineering students by our University's
An Oligonucleotide Story by Assoc. Prof. Dr. Osman DOLUCA
Within the scope of the Biomedical symposium organized by İzmir Katip Çelebi University Biomedical Society, our department chair, Assoc. Prof. Dr. Osman
Projects were entitled to receive support within the scope of the TÜBİTAK 2209-A
We congratulate our students and wish them continued success.
Important breakthrough in virus detection
Assoc. Prof. Dr. Osman Doluca, Acting Head of Department of Biomedical Engineering, Izmir University of Economics (IUE), reported that they have developed
'Smart cabinet' against the virus
Assoc. Prof. Dr. Osman Doluca and his 4 students from Izmir University of Economics (IUE) developed a 'PCR cabinet' that allows samples