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	3	0	3	5

Prerequisites	To be a junior (3th year) student
Course Language	English
Course Type	ELECTIVE_COURSE
Course Level	First Cycle
Mode of Delivery	Face-To-Face
Teaching Methods and Techniques of the Course	Application: Experiment / Laboratory / Workshop Lecture / Presentation
National Occupational Classification Code	-
Course Coordinator	Doç. Dr. Mehmet Türkan
Course Lecturer(s)	Doç. Dr. Mehmet Türkan
Assistant(s)	-

Course Objectives

This course introduces the fundamental principles and algorithms of digital image processing systems. The course content includes image sampling and quantization, image enhancement techniques in spatial and frequency domains, signal processing theories used in digital image processing—such as one-dimensional and two-dimensional convolution, two-dimensional Fourier transform, morphological image processing, color models, and basic color image processing topics.

Learning Outcomes

The students who succeeded in this course;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	Explain digital images and the sampling and quantization processes used to obtain them.	1.5		X
LO2	Use histogram-based techniques for digital image processing.	1.6		X
LO3	Apply spatial or frequency domain processing and filtering techniques to smooth and sharpen digital images.	1.6		X
LO4	Utilize filtering techniques to restore images in the presence of noise.	1.6		X
LO5	Describe morphological image processing techniques.	1.5		X
LO6	Explain commonly used color models and their applications in basic color image processing.	1.5		X
LO7	Apply digital image processing methods to practical problems.	4			X

Course Description

The course content includes digital images as two-dimensional signals; two-dimensional convolution, Fourier transform, and discrete cosine transform; fundamentals of image processing; image enhancement; image restoration; image coding and compression.

Related Sustainable Development Goals

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

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials	Learning Outcome
1	Introduction	Chapter 1. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO1
2	Fundamentals of digital images	Chapter 2. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO1
3	Global histogram processing	Chapter 3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO2
4	Local histogram processing	Chapter 3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO2
5	Point processing, basic gray-level transformations	Chapter 3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO3
6	Spatial filtering, convolution theorem, smoothing filters	Chapter 3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO3
7	Spatial sharpening filters, combining spatial filtering techniques	Chapter 3. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO3
8	Midterm Exam	-	-
9	Filtering in the frequency domain, convolution theorem	Chapter 4. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO3
10	Image restoration for noise removal	Chapter 5. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO4
11	Morphological image processing	Chapter 9. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO5
12	Color image processing	Chapter 6. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO6
13	Fundamentals of image compression, JPEG image compression algorithm	Chapter 8. R. C. Gonzalez, R. E. Woods, Digital Image Processing, ISBN: 978-0-13-234563-7	LO6
14	Project presentations	-	LO7
15	Project presentations	-	LO7
16	Final Exam	-	-

Course Notes/Textbooks	R. C. Gonzalez R. E. Woods Digital Image Processing Pearson 2010 3/E ISBN: 978-0-13-234563-7.
Suggested Readings/Materials	-

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO1	LO2	LO3	LO4	LO5	LO6	LO7
Midterm	1	30	X	X	X
Project	1	20	X	X	X	X	X	X	X
Presentation / Jury	1	10	X	X	X	X	X	X	X
Final Exam	1	40				X	X	X
Total	4	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	-	-	-
Theoretical Course Hours	16	3	48
Laboratory / Application Hours	-	-	-
Study Hours Out of Class	14	2	28
Field Work	-	-	-
Quizzes / Studio Critiques	-	-	-
Portfolio	-	-	-
Homework / Assignments	-	-	-
Presentation / Jury	1	4	4
Project	1	30	30
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	15	15
Final Exam	1	25	25
		Total	150

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.
	1	Mathematics
	2	Science
	3	Basic Engineering
	4	Computation
	5	Related engineering discipline-specific topics		LO1 LO5 LO6
	6	The ability to apply this knowledge to solve complex engineering problems		LO2 LO3 LO4
2	Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.
3	Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.
	1	Ability to design creative solutions to complex engineering problems
	2	Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions
4	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.				LO7
5	Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.
	1	Literature research for the study of complex engineering problems
	2	Designing experiments
	3	Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.
	1	Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals
	2	Awareness of the legal implications of engineering solutions
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.
	1	Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility
	2	Awareness of being impartial and inclusive of diversity, without discriminating on any subject
8	Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
	1	Ability to work individually and within the discipline
	2	Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.
	1	Ability to communicate verbally
	2	Ability to communicate effectively in writing
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
	1	Knowledge of business practices such as project management and economic feasibility analysis
	2	Awareness of entrepreneurship and innovation
11	Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.