11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


ce.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
None
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course Problem Solving
Simulation
Application: Experiment / Laboratory / Workshop
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Process images using techniques of smoothing, sharpening, histogram processing, and filtering,
  • Explain sampling and quantization processes in obtaining digital images from continuously sensed data,
  • Enhance digital images using filtering techniques in the spatial domain,
  • Enhance digital images using filtering techniques in the frequency domain,
  • Restore images in the presence of only noise through filtering techniques,
  • Explain most commonly applied color models and their use in basic color image processing,
  • Familiarize with Matlab and image processing toolbox.
Course Description

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
X
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction. What is Digital Image Processing? Application areas of digital image processing Chapter 1. Sections 1.11.3. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
2 Digital Image Fundamentals. How digital images are generated? Sampling, quantization, aliasing, Moire patterns, image zooming and shrinking Chapter 1&2. Sections 1.4,1.5, 2.12.4. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
3 Digital Image Fundamentals. How digital images are generated? Sampling, quantization, aliasing, Moire patterns, image zooming and shrinking Chapter 1&2. Sections 1.4,1.5, 2.12.4. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
4 Human visual system Chapter 2. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
5 Image Enhancement in the spatial domain. Basic gray level transformations. Smoothing and sharpening spatial filters. Chapter 3. Sections 3.13.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
6 Image Enhancement in the spatial domain. Histogram processing. Chapter 3. Sections 3.13.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
7 The 2D Discrete Fourier Transform and Its Inverse, Properties of the 2D DFT and the 2D Convolution Theorem Chapter 4. Sections 4.5.5, 4.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
8 The 2D Discrete Fourier Transform and Its Inverse, Properties of the 2D DFT and the 2D Convolution Theorem Chapter 4. Sections 4.5.5, 4.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
9 Image Enhancement in the frequency domain. Chapter 4. Sections 4.74.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
10 Image Enhancement in the frequency domain. Chapter 4. Sections 4.74.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
11 Image restoration: system model, noise model, estimation of degradation function. Chapter 5. Sections 5.1,5.2,5.75.10. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
12 Image restoration in the presence of noise only, inverse filtering, minimum mean square error (Wiener) filtering. Chapter 5. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
13 Color Image Processing. Color transformations. Color image smoothing and sharpening Chapter 6. Section 6.16.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
14 Color Image Processing. Color transformations. Color image smoothing and sharpening Chapter 6. Section 6.16.6. Digital Image Processing. Gonzalez & Woods. ISBN 013168728X
15 Review for Final exam
16 Review of the Semester  
Course Notes/Textbooks R. C. Gonzalez and R. E. Woods, “Digital Image Processing”, PrenticeHall, 3rd Ed., 2008, ISBN 013168728X.
Suggested Readings/Materials R. C. Gonzalez, R. E. Woods, S. L. Eddins, “Digital Image Processing Using MATLAB”, PrenticeHall, 2nd Ed., 2009, ISBN 9780982085400.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
2
10
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
1
25
Final Exam
1
25
Total

Weighting of Semester Activities on the Final Grade
75
Weighting of End-of-Semester Activities on the Final Grade
25
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
2
Field Work
Quizzes / Studio Critiques
2
2
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
8
Final Exams
1
10
    Total
100

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

Adequate knowledge in Mathematics, Science and Computer Engineering; ability to use theoretical and applied information in these areas to model and solve Computer Engineering problems

X
2

Ability to identify, define, formulate, and solve complex Computer Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose

X
3

Ability to design a complex computer based system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose

X
4

Ability to devise, select, and use modern techniques and tools needed for Computer Engineering practice

X
5

Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Computer Engineering problems

X
6

Ability to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; ability to work individually

7

Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages

8

Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself

9

Awareness of professional and ethical responsibility

10

Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development

11

Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Computer Engineering solutions

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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