FACULTY OF ARTS AND SCIENCES
Department of Mathematics
SOCIAL MEDIA
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 |
X
|
|
| 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 be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics. |
|||||
| 2 | To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics. |
|||||
| 3 | To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials. |
|||||
| 4 | To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning. |
X | ||||
| 5 | To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals. |
X | ||||
| 6 | To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project. |
|||||
| 7 | To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. |
|||||
| 8 | To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field. |
|||||
| 9 | To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security. |
X | ||||
| 10 | To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking. |
|||||
| 11 | To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language. |
|||||
| 12 | To be able to speak a second foreign language at a medium level of fluency efficiently. |
|||||
| 13 | To be able to relate the knowledge accumulated throughout the human history to their field of expertise. |
|||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
SOCIAL MEDIA
NEWS |ALL NEWS
International success in mathematics
Spain-based ranking organization Scimago Institutions Ranking ranked IUE Department of Mathematics as 261st in the world and second in our country, as a
9th Workshop of Association for Turkish Women in Maths
9th Workshop of Association for Turkish Women in Maths will take place from May 03 to May 05, 2024 in Izmir, Turkey,
Our 2009 Graduate Has Been Appointed to the South Marmara Development Agency (GMKA) as the General Secretary
Onur Adıyaman, General Secretary of the Eastern Black Sea Development Agency, appointed as the General Secretary of the South Marmara Development Agency.
Young mathematicians came together at IUE
The award ceremony of the Turkish Mathematical Olympiad, which is organized to increase the interest of primary, secondary and high school students
