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EEE 501 | Course Introduction and Application Information
| Course Name |
Applied Digital Image Processing
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
EEE 501
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
|||||
| Course Language |
English
|
|||||
| Course Type |
Elective
|
|||||
| Course Level |
Second Cycle
|
|||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| National Occupation Classification | - | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | This course aims to teach the fundamental principles and techniques of digital image processing and their applications to engineering problems.The course covers topics such as point operations, image filtering and deconvolution, eigenimages, noise reduction and restoration, color image processing, multi-resolution processing, image compression, morphological image processing,scale-space techniques, feature extraction and recognition, image thresholding/segmentation, image registration and image matching, and software applications | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Course Description | Image filtering and deconvolution, eigenimages, noise reduction and restoration, color image processing, multi-resolution processing, image compression, morphological image processing,scale-space techniques, feature extraction and recognition, image thresholding/segmentation, image registration and image matching. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
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 | Learning Outcome |
| 1 | Introduction, Application Areas of Digital Image Processing | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch. 1) | |
| 2 | Digital Image Fundamentals. Sampling, Quantization, Aliasing, Moire patterns | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch. 2) | |
| 3 | Point Operations,Image Intensity Transformations, Histogram Processing | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch. 3) | |
| 4 | Spatial Filtering, Image Enhancement in Spatial Domain | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch. 3) | |
| 5 | Frequency Domain Filtering and Image Enhancement | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch. 4) | |
| 6 | Image Restoration and Reconstruction | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch. 5) | |
| 7 | Image Restoration and Reconstruction | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch. 5) | |
| 8 | Midterm | ||
| 9 | Color Image Processing, Color Transformations | ||
| 10 | Multiresolution Image Processing | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch. 6) | |
| 11 | Image Compression | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch.7) | |
| 12 | Morphological Image Processing | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch. 9) | |
| 13 | Image Segmentation and Registration | Gonzales & Woods, Digital Image Processing, Prentice Hall,3rd ed., 2008 (Ch. 10) | |
| 14 | In-class Presentations | ||
| 15 | In-class Presentations | ||
| 16 | Review of the Semester |
| Course Notes/Textbooks | The textbook referenced above and course slides |
| Suggested Readings/Materials | Related Research Papers |
EVALUATION SYSTEM
| Semester Activities | Number | Weighting | LO 1 | LO 2 | LO 3 | LO 4 | LO 5 | LO 6 | LO 7 |
| Participation |
-
|
-
|
|||||||
| Laboratory / Application |
-
|
||||||||
| Field Work | |||||||||
| Quizzes / Studio Critiques | |||||||||
| Portfolio | |||||||||
| Homework / Assignments |
1
|
30
|
|||||||
| Presentation / Jury | |||||||||
| Project |
1
|
40
|
|||||||
| Seminar / Workshop | |||||||||
| Oral Exams | |||||||||
| Midterm |
1
|
30
|
|||||||
| Final Exam | |||||||||
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
100
|
| Weighting of End-of-Semester Activities on the Final Grade | ||
| 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 |
1
|
20
|
20
|
| Presentation / Jury |
0
|
||
| Project |
1
|
89
|
89
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
20
|
20
|
| Final Exam |
0
|
||
| Total |
225
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
PC Sub | Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
|||
| 1 |
Accesses information in breadth and depth by conducting scientific research in Electrical and Electronics Engineering, evaluates, interprets and applies information. |
-
|
X
|
-
|
-
|
-
|
|
| 2 |
Is well-informed about contemporary techniques and methods used in Electrical and Electronics Engineering and their limitations. |
-
|
-
|
X
|
-
|
-
|
|
| 3 |
Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines. |
-
|
-
|
X
|
-
|
-
|
|
| 4 |
Is informed about new and upcoming applications in the field and learns them whenever necessary. |
-
|
-
|
X
|
-
|
-
|
|
| 5 |
Defines and formulates problems related to Electrical and Electronics Engineering, develops methods to solve them and uses progressive methods in solutions. |
-
|
-
|
-
|
-
|
X
|
|
| 6 |
Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs. |
-
|
-
|
X
|
-
|
-
|
|
| 7 |
Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process. |
-
|
-
|
X
|
-
|
-
|
|
| 8 |
Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility. |
-
|
-
|
X
|
-
|
-
|
|
| 9 |
Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale. |
-
|
-
|
X
|
-
|
-
|
|
| 10 |
Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
X
|
-
|
-
|
-
|
-
|
|
| 11 |
Is knowledgeable about the social, environmental, health, security and law implications of Electrical and Electronics engineering applications, knows their project management and business applications, and is aware of their limitations in Electrical and Electronics engineering applications. |
X
|
-
|
-
|
-
|
-
|
|
| 12 |
Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. |
X
|
-
|
-
|
-
|
-
|
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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